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Experience Level
Mid to Senior
Qualifications
Essential Qualifications:Bachelor’s or Master’s degree in Computer Science or a related discipline. A minimum of 2 years of practical experience with Machine Learning and production-level LLM systems. Proficient in Backend API development using FastAPI, async patterns, and rate limiting. Experience with Dependency Injection and classical interface-based design. Familiarity with vector databases (Pinecone, Weaviate, Chroma) and hybrid search methodologies. Advanced Python programming skills, including async/await, type hints, Pydantic, and SOLID principles. Hands-on experience in MLOps tools: MLflow, model versioning, A/B testing; knowledge of Langfuse is preferred. Experience with NLP and computer vision technologies, such as document understanding, OCR, and GPT-4 Vision. Capability in building feature pipelines, performing real-time and batch inference, and model serving. Familiarity with HuggingFace is mandatory; experience with LangChain or LlamaIndex is a plus. Desirable Skills:Understanding of DevOps practices, including CI/CD with Docker, Azure DevOps pipelines or GitHub Actions, and Kubernetes. Knowledge of data security measures, including multi-tenant data isolation and secure key management (Azure Key Vault). Experience designing on cloud platforms, particularly Azure (strongly preferred), including Azure OpenAI, Blob Storage, Key Vault, and Container Registry; AWS or GCP experience is also valuable. Background in data engineering within big data systems, including large-scale data processing and ETL/ELT pipelines.
About the job
Join our team at Intellectsoft and be a part of revolutionizing the way businesses leverage data! We offer an innovative AI-driven platform that empowers organizations to make strategic decisions and enhance operational efficiency with the help of advanced analytics and machine learning capabilities. Our platform is extensively utilized across various sectors, including healthcare, to streamline processes, elevate customer experiences, and foster innovation. Its seamless integration with existing systems enables teams to make agile, data-informed choices, delivering state-of-the-art solutions.
About Intellectsoft
Intellectsoft is at the forefront of technological innovation, delivering sophisticated solutions that harness the power of AI and machine learning. Our mission is to empower businesses across multiple sectors to unlock their full potential through data-driven insights and streamlined processes. Join us and contribute to a transformative journey in the tech landscape.
At Anaplan, we are a dynamic team of innovators dedicated to enhancing business decision-making through our advanced AI-integrated scenario planning and analytical platform. This empowers our customers to achieve a competitive edge in the market.Our commitment to our customers' success is what unites Anaplanners across various teams and locations, all driven…
Join our innovative team at Intellectsoft as a Senior Python Developer / Machine Learning Engineer. We are looking for a skilled professional with a passion for developing cutting-edge machine learning solutions. In this role, you will be responsible for designing, implementing, and optimizing algorithms, ensuring high-performance and scalability.
Join our team at Intellectsoft and be a part of revolutionizing the way businesses leverage data! We offer an innovative AI-driven platform that empowers organizations to make strategic decisions and enhance operational efficiency with the help of advanced analytics and machine learning capabilities. Our platform is extensively utilized across various sectors, including healthcare, to streamline processes, elevate customer experiences, and foster innovation. Its seamless integration with existing systems enables teams to make agile, data-informed choices, delivering state-of-the-art solutions.
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.
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.
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 Anaplan, where our innovative team is dedicated to revolutionizing business decision-making through our cutting-edge AI-driven scenario planning and analysis platform. Our mission is to empower our customers to surpass their competitors and dominate the marketplace.At Anaplan, we foster a culture that prioritizes our customers' success and embodies our Winning Culture.Our clientele includes some of the most prestigious names in the Fortune 50, including Coca-Cola, LinkedIn, Adobe, LVMH, and Bayer—over 2,400 global companies trust our exceptional platform.Our Winning Culture acts as the driving force behind our teams of innovators. We celebrate diverse ideas and perspectives, encourage leadership at every level, strive for ambitious goals, and take time to celebrate our achievements—large and small.Guided by principles that emphasize strategy, values, and disciplined execution, you will find inspiration, connection, development, and rewards at Anaplan. Embrace your uniqueness and join us in building the future together!About the RoleAnaplan is seeking a talented Principal Software Engineer to join our AI engineering team. This pivotal role involves hands-on development focused on constructing robust backend systems that power our machine learning features. As a software engineer specializing in machine learning, your responsibilities will include designing, developing, and deploying APIs, data pipelines, and backend services essential for integrating advanced machine learning capabilities into the Anaplan platform.
Inovalon, established in 1998, operates on the belief that technology and data can significantly enhance the healthcare ecosystem, leading to better outcomes and financial efficiencies. Our commitment to our clients' success directly translates to improved healthcare for all. We are dedicated to providing data-driven solutions that empower our customers to excel in their missions.As a unified organization, Inovalon strives to deliver impactful solutions that meet the most pressing needs of the healthcare sector. Our culture promotes inclusion and innovation, ultimately benefiting not just our clients, but the millions of patients and members they serve.Job Title: Senior Full Stack Machine Learning EngineerAbout Us:Inovalon is at the forefront of healthcare technology, aiming to transform the industry through advanced AI and machine learning solutions. We are on a mission to harness state-of-the-art technology to enhance health outcomes and optimize healthcare processes. We invite you to join our vibrant team as a Senior Full Stack Machine Learning Engineer.Job Description:Your role as a Senior Full Stack Machine Learning Engineer will be crucial in designing, developing, and deploying machine learning models that enhance our healthcare solutions. Collaborating with data scientists, software engineers, and product managers, you will build scalable and robust machine learning systems that transform healthcare data into actionable insights, significantly improving patient care and operational efficiency.Key Responsibilities:Model Development: Create, implement, and refine machine learning models for diverse healthcare applications, focusing on predictive analytics, natural language processing, and generative AI.End-to-End Deployment: Oversee the complete lifecycle of machine learning solutions, from data preprocessing and model training to deployment and monitoring in production settings.Data Engineering: Collaborate with data engineers to construct and maintain data pipelines, ensuring the provision of high-quality data for training and inference.Software Development: Write clean, efficient, and maintainable code for machine learning applications, ensuring seamless integration with existing systems.Performance Optimization: Continuously assess and enhance the performance of machine learning models and systems, addressing scalability, latency, and accuracy issues.
Full-time|On-site|Gurgaon (Gurugram), Haryāna, India
OverviewWe are seeking a talented Senior Machine Learning Engineer to develop and implement scalable machine learning models aimed at solving predictive challenges for our clients in the commerce and consumer packaged goods (CPG) sectors.Company DetailsAt GobbleCube, we are a cutting-edge data science and AI firm dedicated to tackling intricate business challenges for commerce and CPG brands through state-of-the-art analytics and machine learning solutions. Discover more at our website: https://gobblecube.ai/
Founded in 1998, Inovalon is driven by the conviction that technology, particularly data, can revolutionize the healthcare ecosystem, enhancing both outcomes and economics. We are dedicated to empowering our clients with data-driven solutions that contribute to their success and, in turn, improve healthcare for everyone.As a cohesive unit, we tackle the most pressing challenges in healthcare through our culture of inclusivity and innovation, delivering value not only to our clients but also to the millions of patients they serve.Position Overview: As a Machine Learning Engineer specializing in Quality Assurance, you will spearhead the architecture, design, implementation, and deployment of complex, large-scale financial applications. You will manage the entire solution lifecycle, ensuring robust full-stack software development while addressing unique and intricate challenges at an accelerated pace using cutting-edge technologies to develop highly scalable solutions.
Full-time|On-site|Gurgaon (Gurugram), Haryāna, India
We are seeking a highly skilled Lead Machine Learning Engineer to spearhead the development of innovative models and production systems. In this pivotal role, you will lead a talented team dedicated to creating scalable machine learning solutions tailored for commerce and Consumer Packaged Goods (CPG) applications.
Location Details: Gurugram (Hybrid) At GoDaddy, we embrace a diverse work culture where the future of work varies by team. Some teams are office-based full-time, while others adopt a hybrid model, allowing flexibility to work remotely some days and at the office on others. Others may work entirely remotely. Join us in shaping the future! Hybrid: This role allows for a hybrid work setup. Candidates should be within commuting distance to the office. The frequency of in-office work is determined by team leadership, and the hiring manager can provide insights on what this looks like for your team. Join our Team… If you are enthusiastic about machine learning and are eager to impact millions of small businesses, consider joining our Data and Artificial Intelligence (DnAI) team at GoDaddy as a Senior Machine Learning Scientist. You will have the opportunity to develop state-of-the-art machine learning models and Generative AI solutions that enhance customer satisfaction. Collaborate with a team of highly skilled engineers to devise comprehensive solutions for complex business challenges, including customer experience and personalization, while addressing technical issues in model evaluation and simulation. What you'll get to do... Design and implement advanced machine learning algorithms. Collaborate with cross-functional teams to integrate AI solutions. Analyze large datasets to extract actionable insights. Optimize existing models and algorithms for better performance. Contribute to the overall strategy of AI development within the organization.
Payoneer seeks an Artificial Intelligence and Machine Learning Developer based in Gurugram, India. This position centers on designing and implementing AI and ML solutions that advance key projects and enhance the company’s services. Key responsibilities Create and refine AI and machine learning models tailored to business requirements Collaborate with cross-functional teams to deliver practical, effective solutions Use machine learning algorithms and data analysis methods to solve real-world challenges Role focus This role emphasizes hands-on development and teamwork. Expect to work on projects that directly impact how Payoneer serves its customers and operates internally. Strong technical skills in AI and ML, along with the ability to work across departments, are important for success in this position.
Join ixigo as a Principal Backend Engineer and be at the forefront of our technology initiatives. We are looking for a talented individual who will play a pivotal role in enhancing our backend systems. This role requires a deep understanding of software architecture, and the ability to lead complex projects while collaborating with cross-functional teams. You will be responsible for designing and implementing scalable solutions that improve our platform's performance and reliability.
Role Overview Anaplan is hiring a Principal Software Engineer in Gurugram, India. This role focuses on designing and building scalable software that strengthens the performance and capabilities of Anaplan's platform. What You Will Do Design and implement software solutions that scale to meet business needs Work closely with teams across product, engineering, and other functions to improve Anaplan applications Contribute to the evolution of development practices and processes Who We’re Looking For Experience architecting and delivering complex software systems Strong collaboration skills for working with cross-functional groups Ability to drive improvements in both performance and product functionality
Join our dynamic team at AECOM as a Principal Engineer specializing in Substation Structures. In this key role, you will be responsible for leading engineering efforts, ensuring the design integrity of substation structures, and collaborating with multidisciplinary teams to deliver innovative solutions. Your expertise will help shape the future of our projects, contributing to sustainable energy solutions that make a difference.
Join AECOM as a Principal Engineer specializing in Secondary Substations, where you will play a pivotal role in designing and implementing innovative electrical solutions. You will lead projects from conception to completion, ensuring high-quality standards and compliance with industry regulations. This position demands a strong background in electrical engineering and substantial experience in substation design.
Join AECOM as a Lead/Principal Engineer specializing in building structures. In this pivotal role, you will lead engineering projects, ensuring design excellence and compliance with industry standards. Collaborate with a diverse team of professionals to deliver innovative solutions that meet client expectations and enhance community infrastructure.
Your ImpactThe Principal Software Engineer plays a pivotal role in shaping and advancing our architectural framework through the application of Distributed Domain Driven Design principles. This position is vital for ensuring the reliability and scalability of our systems. The engineer will guide architectural strategies and provide consultation embedded within projects to help teams implement best practices and effective design patterns.What You'll Do● Architecture Leadership: Spearhead the definition and continuous evolution of our architectural framework utilizing Distributed Domain Driven Design techniques. Serve as the strategic leader for key architectural quality attributes such as Availability, Performance, Scalability, and Security, informing comprehensive architecture assessments. Deliver project-focused architectural consultation to advocate for best practices, design patterns, and informed decisions regarding build versus buy.● Platform Capability Enhancement: Collaborate in prioritizing enhancements for platform capabilities across feature and data platforms. Improve the documentation and communication of architectural descriptions through automation and innovative tools. Champion platform-wide strategies encompassing naming conventions, protocol standards, and design patterns to ensure ongoing value generation.● Effective Communication: Articulate complex technical concepts clearly and effectively in both written and verbal formats, tailoring communication to suit technical and non-technical audiences alike. Work collaboratively with stakeholders to foster consensus and alignment on architectural choices.
