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Experience Level
Senior
About the job
Kaseya is looking for a Senior Staff Applied Machine Learning Engineer to join its team. This fully remote position is open to professionals based in India. The focus of this role is to develop and enhance machine learning solutions that support and improve Kaseya’s products and services.
What you will do
Collaborate with teams throughout the company to design and implement machine learning technologies
Use advanced machine learning methods to address real-world challenges that influence product performance and customer satisfaction
Offer technical leadership and expertise on projects that have a significant impact on the business
Location
This position is remote and available to candidates residing in India.
Role overview Kaseya is looking for a Senior Staff Applied Machine Learning Engineer to join its team. This fully remote position is open to professionals based in India. The focus of this role is to develop and enhance machine learning solutions that support and improve Kaseya’s products and services. What you will do Collaborate with teams throughout the c…
Join IDT Corporation, a premier communications and financial services provider established in 1990 and based in New Jersey, USA. As a global leader in prepaid communication and payment solutions, we rank among the largest international voice carriers worldwide. Our company, listed on the NYSE, employs over 1,700 professionals across 20+ countries and generates revenues exceeding $1.5 billion.We are seeking a talented Machine Learning Engineer to become a vital member of our Business Intelligence team. In this role, you will engage in the design, construction, and upkeep of robust data pipelines, architecture, and designs that fuel our data warehouse, LLM-driven applications, and AI-centric business intelligence solutions. This position offers exceptional flexibility in your choice of work location! * The interview process will be conducted in English.
Join Continental as an IT Engineer specializing in Machine Learning, where you will leverage cutting-edge technologies to enhance our innovative solutions. As part of our dynamic team in Bengaluru, you will work on developing and implementing machine learning models, contributing to projects that have a significant impact on the automotive industry.
Join our dynamic team at Sumo Logic as a Senior Machine Learning Engineer, where you will play a pivotal role in designing and implementing cutting-edge machine learning models to drive our product innovations. Collaborate with talented professionals in a fast-paced environment and leverage your expertise to solve complex problems and enhance data-driven decision-making across the organization.
For over two decades, Smartsheet has empowered individuals and teams to accomplish remarkable feats. From efficient work management to innovative, scalable solutions, we have consistently embraced the flow of progress. We are developing tools that enable teams to automate repetitive tasks, extract meaningful insights, and scale operations intelligently. More importantly, we are fostering an environment where big ideas can flourish, decisive actions can be taken, and impactful work can be realized. When challenges meet purpose and passion fuels progress, that’s when the magic happens—and that’s our everyday commitment.We are seeking a Senior Machine Learning Operations Engineer to architect and oversee the machine learning production lifecycle. Your primary responsibility will be to deploy and maintain ML models within a scalable, reliable, and secure production environment. You will design and uphold the infrastructure, automation, and monitoring systems that ensure our AI products perform optimally and are cost-effective.You will report to the Director of Analytics Engineering & Data Governance based in our Bellevue, WA office but can work remotely from any location in the US where Smartsheet is registered as an employer.Your Responsibilities Will Include:Model and Pipeline AutomationAutomate the deployment and retraining of ML models, managing complete CI/CD/CT (Continuous Training) pipelines in accordance with MLOps best practices.Build, fine-tune, or utilize pre-trained LLMs, deep learning models, or traditional machine learning models.Evaluate and recommend AI or ML solutions for our products using a mix of vendor solutions and custom-built models.Governance & ComplianceImplement model versioning, lineage tracking, and auditing to ensure compliance with security and ethical standards.Performance MonitoringContinuously monitor the health and performance of production machine learning models, proactively identifying and rectifying model drift, staleness, and performance degradation.Incorporate user feedback for ongoing improvements and manage necessary model retraining cycles.Cross-Functional CollaborationAct as a crucial link between Data Scientists who create models and Software Engineers who implement them.Collaborate effectively with software engineers, product managers, and business functions to integrate machine learning solutions across Smartsheet.
Join Our Team as a Machine Learning Engineer: Are you passionate about harnessing the power of artificial intelligence to solve real-world problems? At egen, we are seeking a talented Machine Learning Engineer to design and implement cutting-edge AI applications. Bring your expertise in software engineering and machine learning to create scalable solutions that deliver value to our clients. Key Responsibilities:Leverage a minimum of 5 years of experience to architect and deploy AI solutions that are secure, scalable, and high-performing.Utilize your knowledge of Document Extraction, Conversational AI, Vision AI, NLP, or Generative AI in your projects.Enhance and operationalize existing ML models through fine-tuning and personalization.Evaluate and optimize machine learning models to ensure peak performance.Craft effective prompts for Large Language Models (LLMs) to elicit relevant and accurate outputs.Collaborate with data scientists and engineers to preprocess datasets, including tasks such as data cleaning, transformation, and augmentation.Conduct comprehensive analyses to assess LLM responses and iteratively refine prompts for improved outcomes.Engage in hands-on customer interactions with Retrieval-Augmented Generation (RAG) solutions and LLM model fine-tuning.Build and deploy robust machine learning pipelines on Google Cloud Platform (GCP) or equivalent cloud services, integrating data warehouses, ML platforms, dashboards, and CRM tools.Manage all phases of machine learning projects including data cleaning, exploratory data analysis, outlier management, and data distribution analysis.
Full-time|₹2.5M/yr - ₹3M/yr|On-site|Ahmedabad, Gujarat, India
Join our dynamic team as a Machine Learning Engineer, working with one of Weekday's esteemed clients.Salary range: ₹2,500,000 - ₹3,000,000 (INR 25-30 LPA)We are on the lookout for a talented Machine Learning Engineer who is passionate about developing and optimizing intelligent systems designed to enhance personalized user experiences. This role involves creating recommendation engines, retrieval systems, and data-driven AI solutions that allow users to easily discover relevant content, connections, and insights. You will work at the cutting edge of machine learning, data engineering, and applied AI, designing scalable systems that utilize real-time data, embeddings, and advanced algorithms. The ideal candidate will thrive on tackling complex problems, developing production-grade ML systems, and transforming data into impactful user experiences.
Join Nagarro as a Staff Engineer specializing in Machine Learning. In this role, you will leverage cutting-edge technologies to build innovative machine learning solutions that enhance our product offerings and drive business success.
Join Nagarro as a Staff Engineer specializing in Machine Learning, where you'll play a crucial role in developing innovative solutions that leverage advanced machine learning techniques. Your expertise will contribute to designing, implementing, and optimizing cutting-edge algorithms that enhance our product offerings and drive business value.
About the PositionAt Aisera, we are dedicated to revolutionizing the way AI agents tackle real-world challenges for our clients. Our focus is on harnessing cutting-edge technologies, including Large Language Models (LLMs) and advanced AI agent systems, to deliver innovative, secure, and cost-effective solutions. As a Forward Deployed Engineer, you will play a pivotal role in deploying AI agents that address practical issues faced by our customers. Collaborating closely with clients, software engineers, and machine learning experts, you will ensure impactful deployments while continuously enhancing our core AI platform. Your responsibilities will include developing intelligent AI agents, seamlessly integrating them with external systems, and providing hands-on technical support for successful implementations. This role calls for strong engineering acumen, adaptability, and a commitment to customer engagement. If you possess a self-driven mindset, analytical skills, and a passion for applying AI in practical contexts, we invite you to apply.
Join Level AI, a pioneering startup based in Mountain View, CA, dedicated to transforming the Voice AI landscape. Supported by leading venture capitalists and industry experts, our mission is to enhance the customer sales experience for businesses through groundbreaking innovations in speech AI, natural language processing (NLP), and information retrieval systems. As a vital member of our team, you will play a crucial role in shaping the future of AI within the business sector. Collaborating closely with a skilled group of technologists, you will tackle a diverse range of challenges that arise in this exciting field. Our team brings experience from renowned companies such as Amazon Alexa and Google, empowering you to explore innovative solutions as we strive to connect customers and businesses like never before.
Join our innovative team at HackerRank as a Machine Learning Engineer, where you'll play a crucial role in developing cutting-edge machine learning models. This position is ideal for individuals passionate about artificial intelligence and eager to contribute to groundbreaking projects in a collaborative environment.
Nielsen Company is seeking a Lead Machine Learning Engineer to join the team in Bengaluru. This individual contributor role centers on building advanced machine learning solutions that shape products and services throughout the organization. Key responsibilities Design and deploy scalable machine learning models for practical use cases Collaborate with teams from different functions to embed machine learning into core offerings Use deep knowledge of machine learning to inform data-driven decisions Location This position is located in Bengaluru.
Founded in 1998, Inovalon is dedicated to transforming the healthcare ecosystem through the power of technology and data, enhancing both outcomes and economics. We believe that our customers’ successes directly contribute to improved healthcare, which is why we focus on providing data-driven solutions that promote their missions.United as ONE Inovalon, we are committed to addressing the most pressing needs in healthcare through a culture of inclusion and innovation. Our efforts create value not only for our clients but also for the millions of patients and members they serve.About Us:As a pioneering healthcare technology company, Inovalon is on a mission to revolutionize the industry with innovative AI and machine learning solutions. We aim to leverage advanced technology to enhance health outcomes and streamline healthcare operations. We are currently looking for a highly skilled Senior Machine Learning Software Development Engineer in Test (SDET) to ensure the quality, reliability, and safety of our ML-powered healthcare products.Job Description:In the role of Senior Machine Learning SDET, you will design, implement, and maintain robust testing frameworks and quality strategies for machine learning systems throughout their lifecycle. You will collaborate closely with data scientists, ML engineers, software engineers, and product managers to validate models, data pipelines, and ML-driven services in production environments. Your contributions will play a crucial role in ensuring our ML solutions are accurate, efficient, secure, and compliant with healthcare standards, ultimately enhancing patient care and operational efficiency.
Role Overview ixigo is looking for a Senior Research Engineer focused on Applied AI and Machine Learning to join the team in Gurugram. This role centers on building advanced AI/ML solutions that improve user experiences and support new features across ixigo's platforms. What You Will Do Design and develop AI and machine learning models for real-world applications within ixigo's products. Work closely with engineers and data scientists to create and refine algorithms. Help shape technical direction by contributing research insights and practical solutions. Translate complex research into scalable, production-ready systems. Collaboration Expect to partner with a skilled team of engineers and data scientists, sharing ideas and working together to deliver measurable improvements for users.
Founded in 1998, Inovalon stands at the forefront of transforming the healthcare ecosystem through the power of technology and data. We are committed to enabling our clients' success by providing innovative, data-driven solutions that enhance healthcare outcomes and economics. At Inovalon, we believe that our growth is intrinsically linked to the success of our customers, which is why we focus on empowering them with comprehensive insights and actionable solutions.As a unified team at Inovalon, we are dedicated to addressing the most pressing challenges in healthcare. Our mission-driven culture fosters inclusion and innovation, creating value for not only our clients but also the millions of patients and members they serve.About Us:Inovalon is a premier healthcare technology firm that is revolutionizing the healthcare landscape with state-of-the-art AI and machine learning solutions. Our mission is to harness cutting-edge technology to improve health outcomes and streamline healthcare processes.Role OverviewAs a Machine Learning Operations (MLOps) Engineer, you will be instrumental in designing, building, and managing the infrastructure and tools that enable comprehensive ML workflows on AWS platforms, including SageMaker, Bedrock, and Snowflake Cortex. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure that models are robust, secure, and scalable in production environments.Key ResponsibilitiesDesign, implement, and maintain CI/CD pipelines for ML models and data workflows utilizing AWS-native services and infrastructure-as-code.Operationalize models developed on SageMaker, Bedrock, and Snowflake Cortex, including feature pipelines, training, batch/real-time inference, and continuous monitoring.Create and oversee data pipelines and feature stores using AWS Glue, Lambda, Step Functions, and Snowflake.Establish observability for ML systems (logging, metrics, tracing, drift/quality monitoring) and define service-level objectives (SLOs) and service-level agreements (SLAs) for production ML services.Automate environment provisioning, configuration, and dependency management across development, testing, and production environments.Collaborate with security and compliance teams to ensure ML workloads adhere to healthcare, privacy, and regulatory standards, including HIPAA.Work alongside ML engineers and data scientists to transition notebooks and prototypes into robust, maintainable services.Contribute to best practices, standards, and documentation for ML platforms and operations throughout the organization.
Join Our Team at ParspecFounded in 2021, Parspec is transforming the material procurement landscape for the $13 trillion USD construction sector by digitizing and organizing product data. Our proprietary AI technology offers a comprehensive and up-to-date catalog of millions of products, allowing our clients to effortlessly identify the best products that suit their needs. Trusted by leading designers, builders, distributors, and sales agents, and supported by top venture investors, Parspec is paving the way for a more innovative, connected, and sustainable future in construction.Become a part of our mission to develop groundbreaking technology that reshapes one of the world’s oldest and largest industries.The RoleWe are on the lookout for a skilled and enthusiastic Machine Learning Engineer to become a vital member of our AI team. In this role, you will be instrumental in designing, developing, and deploying state-of-the-art machine learning models, including solutions based on Natural Language Processing (NLP) and Large Language Models (LLMs). You will tackle complex data science challenges while collaborating closely with product, engineering, and business teams to deliver impactful AI-driven features.This is a unique chance to be at the forefront of innovation, utilizing advanced AI technologies to disrupt an industry ready for digital transformation.Key ResponsibilitiesAI System DevelopmentCreate and develop Computer Vision, NLP, and Recommendation Systems tailored for our applications.Conduct research and implement innovative deep learning architectures to address challenging data science problems.Develop, train, and deploy scalable and extensible deep learning and machine learning models.Full Product Lifecycle EngagementWork alongside product managers, UX designers, and end-users to seamlessly integrate software and AI components into fully functional systems.Engage in the complete product lifecycle—from conceptual design to development, integration, testing, and deployment.Building Scalable SolutionsDevelop products capable of efficiently handling large volumes of data while ensuring high scalability for new client onboarding.Design comprehensive end-to-end data and ML pipelines for smooth integration into production environments.
About the RoleJoin our dynamic team at PubMatic as a Senior Machine Learning Engineer in Pune, where you'll thrive in a hybrid work environment. In this pivotal role, reporting directly to the Director of Machine Learning, you will collaborate closely with Product and Engineering teams to tackle challenges and uncover new business opportunities. The ideal candidate will leverage quantitative analysis, advanced modeling, and data mining techniques to inform product strategies and drive results at PubMatic.Your ResponsibilitiesConduct comprehensive analysis to enhance and optimize key product KPIs.Utilize statistical methods, modeling, and machine learning to enhance system efficiency and relevance algorithms across our suite of business applications.Perform data analyses to provide actionable product recommendations and design A/B testing frameworks.Work in partnership with Product and Engineering teams to diagnose issues and identify emerging trends and opportunities.Engage with cross-functional stakeholders to gather business requirements and execute thorough analyses, encompassing data collection, analysis, continual deliverables, and presentations.Preferred QualificationsA minimum of five years of hands-on experience in developing Machine Learning models to address business challenges, utilizing statistical tools such as R, MATLAB, Python (NumPy, Scikit-learn, Pandas), or MLlib.Proven ability to articulate product-related queries and employ statistical techniques to derive insights.Proficient in SQL scripting for extracting large datasets and designing ETL processes.Experience in interdisciplinary or cross-functional roles.A strong passion for data, metrics, analysis, and trends, along with applied knowledge of measurement, statistics, and program evaluation.Outstanding problem-solving abilities and sound business judgment.Skilled in translating analytical outcomes into strategic business recommendations.Educational Requirements:Bachelor’s degree in Engineering (Computer Science / Information Technology) or equivalent from a recognized institution. Additional Information:
Role Overview Lingarogroup is seeking a Machine Learning and AI Engineer based in India. This role focuses on building and refining AI solutions that support business goals. The position involves hands-on work with current technologies and close collaboration with teams from different disciplines. What You Will Do Design and implement machine learning models for real-world applications Work with colleagues across departments to gather requirements and deliver effective solutions Optimize and maintain AI systems to ensure high performance
Full-time|₹5M/yr - ₹10M/yr|On-site|Bengaluru, Karnataka, India
Join an innovative team as a Founding Applied Scientist with one of Weekday's esteemed clients!Salary range: Rs 5000000 - Rs 10000000 (INR 50 - 100 LPA)Minimum Experience Required: 4 yearsLocation: BengaluruJob Type: Full-timeIn this pivotal role, you will bridge advanced research and production engineering, creating foundational systems that empower AI systems to learn from enterprise settings, analyze tribal knowledge, and drive significant business outcomes.This autonomy-driven, builder-centric position is crafted for individuals eager to surpass conventional benchmarks and address critical challenges regarding AI trustworthiness, memory, and autonomy within real-world enterprise systems. You will play a key role in shaping the future of applied science in the realm of intelligent agents.Your Contributions:What You'll BuildYou will conduct research, design, and deploy next-generation system architectures concentrating on:Agentic & Tribal Knowledge SystemsDesign and implement multi-agent systems capable of tackling complex, long-term tasks.Develop frameworks that incorporate organizational memory and domain expertise into intelligent workflows.High-Impact Applied Science SolutionsIdentify and resolve intricate business challenges utilizing machine learning.Enhance engagement, retention, pricing, optimization, and other critical metrics.Create measurable top-line growth at scale.Customer-Facing Applied AICollaborate directly with engineering and product teams at key client sites.Act as a trusted advisor on ML architecture and agent-based systems.Facilitate the adoption of production-ready agentic AI solutions.End-to-End Model DevelopmentDesign, construct, and implement production-grade ML systems.Extend platform capabilities to accommodate large-scale, user-focused environments.Oversee the entire lifecycle from experimentation to scalable deployment.
Role overview Kaseya is looking for a Senior Staff Applied Machine Learning Engineer to join its team. This fully remote position is open to professionals based in India. The focus of this role is to develop and enhance machine learning solutions that support and improve Kaseya’s products and services. What you will do Collaborate with teams throughout the c…
Join IDT Corporation, a premier communications and financial services provider established in 1990 and based in New Jersey, USA. As a global leader in prepaid communication and payment solutions, we rank among the largest international voice carriers worldwide. Our company, listed on the NYSE, employs over 1,700 professionals across 20+ countries and generates revenues exceeding $1.5 billion.We are seeking a talented Machine Learning Engineer to become a vital member of our Business Intelligence team. In this role, you will engage in the design, construction, and upkeep of robust data pipelines, architecture, and designs that fuel our data warehouse, LLM-driven applications, and AI-centric business intelligence solutions. This position offers exceptional flexibility in your choice of work location! * The interview process will be conducted in English.
Join Continental as an IT Engineer specializing in Machine Learning, where you will leverage cutting-edge technologies to enhance our innovative solutions. As part of our dynamic team in Bengaluru, you will work on developing and implementing machine learning models, contributing to projects that have a significant impact on the automotive industry.
Join our dynamic team at Sumo Logic as a Senior Machine Learning Engineer, where you will play a pivotal role in designing and implementing cutting-edge machine learning models to drive our product innovations. Collaborate with talented professionals in a fast-paced environment and leverage your expertise to solve complex problems and enhance data-driven decision-making across the organization.
For over two decades, Smartsheet has empowered individuals and teams to accomplish remarkable feats. From efficient work management to innovative, scalable solutions, we have consistently embraced the flow of progress. We are developing tools that enable teams to automate repetitive tasks, extract meaningful insights, and scale operations intelligently. More importantly, we are fostering an environment where big ideas can flourish, decisive actions can be taken, and impactful work can be realized. When challenges meet purpose and passion fuels progress, that’s when the magic happens—and that’s our everyday commitment.We are seeking a Senior Machine Learning Operations Engineer to architect and oversee the machine learning production lifecycle. Your primary responsibility will be to deploy and maintain ML models within a scalable, reliable, and secure production environment. You will design and uphold the infrastructure, automation, and monitoring systems that ensure our AI products perform optimally and are cost-effective.You will report to the Director of Analytics Engineering & Data Governance based in our Bellevue, WA office but can work remotely from any location in the US where Smartsheet is registered as an employer.Your Responsibilities Will Include:Model and Pipeline AutomationAutomate the deployment and retraining of ML models, managing complete CI/CD/CT (Continuous Training) pipelines in accordance with MLOps best practices.Build, fine-tune, or utilize pre-trained LLMs, deep learning models, or traditional machine learning models.Evaluate and recommend AI or ML solutions for our products using a mix of vendor solutions and custom-built models.Governance & ComplianceImplement model versioning, lineage tracking, and auditing to ensure compliance with security and ethical standards.Performance MonitoringContinuously monitor the health and performance of production machine learning models, proactively identifying and rectifying model drift, staleness, and performance degradation.Incorporate user feedback for ongoing improvements and manage necessary model retraining cycles.Cross-Functional CollaborationAct as a crucial link between Data Scientists who create models and Software Engineers who implement them.Collaborate effectively with software engineers, product managers, and business functions to integrate machine learning solutions across Smartsheet.
Join Our Team as a Machine Learning Engineer: Are you passionate about harnessing the power of artificial intelligence to solve real-world problems? At egen, we are seeking a talented Machine Learning Engineer to design and implement cutting-edge AI applications. Bring your expertise in software engineering and machine learning to create scalable solutions that deliver value to our clients. Key Responsibilities:Leverage a minimum of 5 years of experience to architect and deploy AI solutions that are secure, scalable, and high-performing.Utilize your knowledge of Document Extraction, Conversational AI, Vision AI, NLP, or Generative AI in your projects.Enhance and operationalize existing ML models through fine-tuning and personalization.Evaluate and optimize machine learning models to ensure peak performance.Craft effective prompts for Large Language Models (LLMs) to elicit relevant and accurate outputs.Collaborate with data scientists and engineers to preprocess datasets, including tasks such as data cleaning, transformation, and augmentation.Conduct comprehensive analyses to assess LLM responses and iteratively refine prompts for improved outcomes.Engage in hands-on customer interactions with Retrieval-Augmented Generation (RAG) solutions and LLM model fine-tuning.Build and deploy robust machine learning pipelines on Google Cloud Platform (GCP) or equivalent cloud services, integrating data warehouses, ML platforms, dashboards, and CRM tools.Manage all phases of machine learning projects including data cleaning, exploratory data analysis, outlier management, and data distribution analysis.
Full-time|₹2.5M/yr - ₹3M/yr|On-site|Ahmedabad, Gujarat, India
Join our dynamic team as a Machine Learning Engineer, working with one of Weekday's esteemed clients.Salary range: ₹2,500,000 - ₹3,000,000 (INR 25-30 LPA)We are on the lookout for a talented Machine Learning Engineer who is passionate about developing and optimizing intelligent systems designed to enhance personalized user experiences. This role involves creating recommendation engines, retrieval systems, and data-driven AI solutions that allow users to easily discover relevant content, connections, and insights. You will work at the cutting edge of machine learning, data engineering, and applied AI, designing scalable systems that utilize real-time data, embeddings, and advanced algorithms. The ideal candidate will thrive on tackling complex problems, developing production-grade ML systems, and transforming data into impactful user experiences.
Join Nagarro as a Staff Engineer specializing in Machine Learning. In this role, you will leverage cutting-edge technologies to build innovative machine learning solutions that enhance our product offerings and drive business success.
Join Nagarro as a Staff Engineer specializing in Machine Learning, where you'll play a crucial role in developing innovative solutions that leverage advanced machine learning techniques. Your expertise will contribute to designing, implementing, and optimizing cutting-edge algorithms that enhance our product offerings and drive business value.
About the PositionAt Aisera, we are dedicated to revolutionizing the way AI agents tackle real-world challenges for our clients. Our focus is on harnessing cutting-edge technologies, including Large Language Models (LLMs) and advanced AI agent systems, to deliver innovative, secure, and cost-effective solutions. As a Forward Deployed Engineer, you will play a pivotal role in deploying AI agents that address practical issues faced by our customers. Collaborating closely with clients, software engineers, and machine learning experts, you will ensure impactful deployments while continuously enhancing our core AI platform. Your responsibilities will include developing intelligent AI agents, seamlessly integrating them with external systems, and providing hands-on technical support for successful implementations. This role calls for strong engineering acumen, adaptability, and a commitment to customer engagement. If you possess a self-driven mindset, analytical skills, and a passion for applying AI in practical contexts, we invite you to apply.
Join Level AI, a pioneering startup based in Mountain View, CA, dedicated to transforming the Voice AI landscape. Supported by leading venture capitalists and industry experts, our mission is to enhance the customer sales experience for businesses through groundbreaking innovations in speech AI, natural language processing (NLP), and information retrieval systems. As a vital member of our team, you will play a crucial role in shaping the future of AI within the business sector. Collaborating closely with a skilled group of technologists, you will tackle a diverse range of challenges that arise in this exciting field. Our team brings experience from renowned companies such as Amazon Alexa and Google, empowering you to explore innovative solutions as we strive to connect customers and businesses like never before.
Join our innovative team at HackerRank as a Machine Learning Engineer, where you'll play a crucial role in developing cutting-edge machine learning models. This position is ideal for individuals passionate about artificial intelligence and eager to contribute to groundbreaking projects in a collaborative environment.
Nielsen Company is seeking a Lead Machine Learning Engineer to join the team in Bengaluru. This individual contributor role centers on building advanced machine learning solutions that shape products and services throughout the organization. Key responsibilities Design and deploy scalable machine learning models for practical use cases Collaborate with teams from different functions to embed machine learning into core offerings Use deep knowledge of machine learning to inform data-driven decisions Location This position is located in Bengaluru.
Founded in 1998, Inovalon is dedicated to transforming the healthcare ecosystem through the power of technology and data, enhancing both outcomes and economics. We believe that our customers’ successes directly contribute to improved healthcare, which is why we focus on providing data-driven solutions that promote their missions.United as ONE Inovalon, we are committed to addressing the most pressing needs in healthcare through a culture of inclusion and innovation. Our efforts create value not only for our clients but also for the millions of patients and members they serve.About Us:As a pioneering healthcare technology company, Inovalon is on a mission to revolutionize the industry with innovative AI and machine learning solutions. We aim to leverage advanced technology to enhance health outcomes and streamline healthcare operations. We are currently looking for a highly skilled Senior Machine Learning Software Development Engineer in Test (SDET) to ensure the quality, reliability, and safety of our ML-powered healthcare products.Job Description:In the role of Senior Machine Learning SDET, you will design, implement, and maintain robust testing frameworks and quality strategies for machine learning systems throughout their lifecycle. You will collaborate closely with data scientists, ML engineers, software engineers, and product managers to validate models, data pipelines, and ML-driven services in production environments. Your contributions will play a crucial role in ensuring our ML solutions are accurate, efficient, secure, and compliant with healthcare standards, ultimately enhancing patient care and operational efficiency.
Role Overview ixigo is looking for a Senior Research Engineer focused on Applied AI and Machine Learning to join the team in Gurugram. This role centers on building advanced AI/ML solutions that improve user experiences and support new features across ixigo's platforms. What You Will Do Design and develop AI and machine learning models for real-world applications within ixigo's products. Work closely with engineers and data scientists to create and refine algorithms. Help shape technical direction by contributing research insights and practical solutions. Translate complex research into scalable, production-ready systems. Collaboration Expect to partner with a skilled team of engineers and data scientists, sharing ideas and working together to deliver measurable improvements for users.
Founded in 1998, Inovalon stands at the forefront of transforming the healthcare ecosystem through the power of technology and data. We are committed to enabling our clients' success by providing innovative, data-driven solutions that enhance healthcare outcomes and economics. At Inovalon, we believe that our growth is intrinsically linked to the success of our customers, which is why we focus on empowering them with comprehensive insights and actionable solutions.As a unified team at Inovalon, we are dedicated to addressing the most pressing challenges in healthcare. Our mission-driven culture fosters inclusion and innovation, creating value for not only our clients but also the millions of patients and members they serve.About Us:Inovalon is a premier healthcare technology firm that is revolutionizing the healthcare landscape with state-of-the-art AI and machine learning solutions. Our mission is to harness cutting-edge technology to improve health outcomes and streamline healthcare processes.Role OverviewAs a Machine Learning Operations (MLOps) Engineer, you will be instrumental in designing, building, and managing the infrastructure and tools that enable comprehensive ML workflows on AWS platforms, including SageMaker, Bedrock, and Snowflake Cortex. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure that models are robust, secure, and scalable in production environments.Key ResponsibilitiesDesign, implement, and maintain CI/CD pipelines for ML models and data workflows utilizing AWS-native services and infrastructure-as-code.Operationalize models developed on SageMaker, Bedrock, and Snowflake Cortex, including feature pipelines, training, batch/real-time inference, and continuous monitoring.Create and oversee data pipelines and feature stores using AWS Glue, Lambda, Step Functions, and Snowflake.Establish observability for ML systems (logging, metrics, tracing, drift/quality monitoring) and define service-level objectives (SLOs) and service-level agreements (SLAs) for production ML services.Automate environment provisioning, configuration, and dependency management across development, testing, and production environments.Collaborate with security and compliance teams to ensure ML workloads adhere to healthcare, privacy, and regulatory standards, including HIPAA.Work alongside ML engineers and data scientists to transition notebooks and prototypes into robust, maintainable services.Contribute to best practices, standards, and documentation for ML platforms and operations throughout the organization.
Join Our Team at ParspecFounded in 2021, Parspec is transforming the material procurement landscape for the $13 trillion USD construction sector by digitizing and organizing product data. Our proprietary AI technology offers a comprehensive and up-to-date catalog of millions of products, allowing our clients to effortlessly identify the best products that suit their needs. Trusted by leading designers, builders, distributors, and sales agents, and supported by top venture investors, Parspec is paving the way for a more innovative, connected, and sustainable future in construction.Become a part of our mission to develop groundbreaking technology that reshapes one of the world’s oldest and largest industries.The RoleWe are on the lookout for a skilled and enthusiastic Machine Learning Engineer to become a vital member of our AI team. In this role, you will be instrumental in designing, developing, and deploying state-of-the-art machine learning models, including solutions based on Natural Language Processing (NLP) and Large Language Models (LLMs). You will tackle complex data science challenges while collaborating closely with product, engineering, and business teams to deliver impactful AI-driven features.This is a unique chance to be at the forefront of innovation, utilizing advanced AI technologies to disrupt an industry ready for digital transformation.Key ResponsibilitiesAI System DevelopmentCreate and develop Computer Vision, NLP, and Recommendation Systems tailored for our applications.Conduct research and implement innovative deep learning architectures to address challenging data science problems.Develop, train, and deploy scalable and extensible deep learning and machine learning models.Full Product Lifecycle EngagementWork alongside product managers, UX designers, and end-users to seamlessly integrate software and AI components into fully functional systems.Engage in the complete product lifecycle—from conceptual design to development, integration, testing, and deployment.Building Scalable SolutionsDevelop products capable of efficiently handling large volumes of data while ensuring high scalability for new client onboarding.Design comprehensive end-to-end data and ML pipelines for smooth integration into production environments.
About the RoleJoin our dynamic team at PubMatic as a Senior Machine Learning Engineer in Pune, where you'll thrive in a hybrid work environment. In this pivotal role, reporting directly to the Director of Machine Learning, you will collaborate closely with Product and Engineering teams to tackle challenges and uncover new business opportunities. The ideal candidate will leverage quantitative analysis, advanced modeling, and data mining techniques to inform product strategies and drive results at PubMatic.Your ResponsibilitiesConduct comprehensive analysis to enhance and optimize key product KPIs.Utilize statistical methods, modeling, and machine learning to enhance system efficiency and relevance algorithms across our suite of business applications.Perform data analyses to provide actionable product recommendations and design A/B testing frameworks.Work in partnership with Product and Engineering teams to diagnose issues and identify emerging trends and opportunities.Engage with cross-functional stakeholders to gather business requirements and execute thorough analyses, encompassing data collection, analysis, continual deliverables, and presentations.Preferred QualificationsA minimum of five years of hands-on experience in developing Machine Learning models to address business challenges, utilizing statistical tools such as R, MATLAB, Python (NumPy, Scikit-learn, Pandas), or MLlib.Proven ability to articulate product-related queries and employ statistical techniques to derive insights.Proficient in SQL scripting for extracting large datasets and designing ETL processes.Experience in interdisciplinary or cross-functional roles.A strong passion for data, metrics, analysis, and trends, along with applied knowledge of measurement, statistics, and program evaluation.Outstanding problem-solving abilities and sound business judgment.Skilled in translating analytical outcomes into strategic business recommendations.Educational Requirements:Bachelor’s degree in Engineering (Computer Science / Information Technology) or equivalent from a recognized institution. Additional Information:
Role Overview Lingarogroup is seeking a Machine Learning and AI Engineer based in India. This role focuses on building and refining AI solutions that support business goals. The position involves hands-on work with current technologies and close collaboration with teams from different disciplines. What You Will Do Design and implement machine learning models for real-world applications Work with colleagues across departments to gather requirements and deliver effective solutions Optimize and maintain AI systems to ensure high performance
Full-time|₹5M/yr - ₹10M/yr|On-site|Bengaluru, Karnataka, India
Join an innovative team as a Founding Applied Scientist with one of Weekday's esteemed clients!Salary range: Rs 5000000 - Rs 10000000 (INR 50 - 100 LPA)Minimum Experience Required: 4 yearsLocation: BengaluruJob Type: Full-timeIn this pivotal role, you will bridge advanced research and production engineering, creating foundational systems that empower AI systems to learn from enterprise settings, analyze tribal knowledge, and drive significant business outcomes.This autonomy-driven, builder-centric position is crafted for individuals eager to surpass conventional benchmarks and address critical challenges regarding AI trustworthiness, memory, and autonomy within real-world enterprise systems. You will play a key role in shaping the future of applied science in the realm of intelligent agents.Your Contributions:What You'll BuildYou will conduct research, design, and deploy next-generation system architectures concentrating on:Agentic & Tribal Knowledge SystemsDesign and implement multi-agent systems capable of tackling complex, long-term tasks.Develop frameworks that incorporate organizational memory and domain expertise into intelligent workflows.High-Impact Applied Science SolutionsIdentify and resolve intricate business challenges utilizing machine learning.Enhance engagement, retention, pricing, optimization, and other critical metrics.Create measurable top-line growth at scale.Customer-Facing Applied AICollaborate directly with engineering and product teams at key client sites.Act as a trusted advisor on ML architecture and agent-based systems.Facilitate the adoption of production-ready agentic AI solutions.End-to-End Model DevelopmentDesign, construct, and implement production-grade ML systems.Extend platform capabilities to accommodate large-scale, user-focused environments.Oversee the entire lifecycle from experimentation to scalable deployment.
