Clicking Apply Now takes you to AutoApply where you can tailor your resume and apply.
Experience Level
Entry Level
Qualifications
Ideal candidates should possess strong programming skills in Python and experience with machine learning frameworks such as TensorFlow or PyTorch. A solid understanding of algorithms and data structures is essential. Familiarity with cloud platforms and data processing tools will be advantageous.
About the job
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.
About HackerRank
HackerRank is a leading technology company dedicated to transforming the way developers are assessed and hired. Our mission is to help companies identify the best technical talent through innovative coding challenges and assessments.
Zscaler is looking for a Staff Detection Engineer in Bangalore to strengthen its security offerings. This role centers on building and improving detection mechanisms that help safeguard customers from new and evolving threats. Role overview Work closely with a skilled team to design and implement detection strategies. The focus is on staying ahead of emergin…
About Us:At Novo, we empower small businesses, freelancers, and entrepreneurs with cutting-edge banking solutions designed to help them thrive. As a key player in the small business banking revolution, we are committed to reshaping the financial landscape for modern entrepreneurs. We believe that small businesses are vital to the economy, and we provide them with the tools necessary to maximize their potential and achieve their financial aspirations.Role Overview:We are seeking an experienced Senior Fraud Analyst to join our dynamic team. In this role, you will play a crucial part in identifying and mitigating fraud risks by conducting thorough investigations and analyses.Key Responsibilities:Conduct daily reviews of fraud alerts and investigate complex fraud patterns in financial transactions.Utilize SQL and various analytical tools to extract and manipulate data for effective fraud detection.Focus on fraud prevention across ACH, Checks, Wires, etc., adhering to established SLAs and company policies.Review queued transactions for manual decision-making, such as canceling or approving transactions as necessary.Minimize risks to both the business and customers through robust process controls and fraud detection strategies.Perform detailed investigations and manual ID verifications for end-users seeking access to additional services.Investigate internal fraud and potential fraud reported by partner financial institutions, creating actionable plans in compliance with policies.Challenge existing practices by proposing innovative fraud prevention ideas and controls.Collaborate effectively with stakeholders across various departments to implement preventive measures against fraud.Embrace ownership of responsibilities, ensuring thorough and proactive management of fraud-related tasks.
Key ResponsibilitiesArchitect & Scale: Design and maintain high-throughput detection systems and backend services, ensuring low latency and high reliability.Data Orchestration: Spearhead the development of robust data pipelines utilizing Spark and Airflow to provide detection teams with high-fidelity data for machine learning model training and evaluation.Technical Leadership: Collaborate with Engineering Managers to establish technical roadmaps, mentor junior and mid-level engineers, and promote best practices in code quality and system design.AI-Driven Innovation: Guide the team in adopting AI productivity initiatives, leveraging tools such as Claude, OpenAI, and GitHub Copilot to expedite the development lifecycle and automate internal workflows.Cross-functional Collaboration: Engage closely with TPMs, Product Managers, Data Scientists, and Security Researchers to translate complex business needs into scalable technical solutions.Operational Excellence: Oversee and optimize cloud-native infrastructure on AWS/EKS, ensuring systems are efficient, secure, and performant.
Join Our Team as a Senior AI/ML Engineer!We are seeking a highly skilled Senior AI/ML Engineer to contribute to our innovative projects at Brillio. You will play a pivotal role in developing advanced machine learning models and artificial intelligence solutions that drive business success. Collaborate with cross-functional teams to design, implement, and deploy AI/ML applications that solve real-world challenges. If you are passionate about AI/ML and eager to work in a dynamic environment, we want to hear from you!
About ZscalerZscaler stands at the forefront of zero trust security, empowering the world’s largest enterprises, critical infrastructure organizations, and government bodies to protect their users, branches, applications, data, and devices. Our cutting-edge Zscaler Zero Trust Exchange platform, fortified by advanced AI, effectively mitigates billions of cyber threats and policy violations daily, enabling organizations to enhance productivity while minimizing costs and complexity.At Zscaler, we prioritize impact over titles and cultivate a culture built on trust, transparency, and constructive dialogue. We focus on harnessing the best ideas at speed, fostering high-performing teams that deliver impactful results with exceptional quality. Our core values revolve around customer obsession, collaboration, ownership, and accountability.We embrace an “AI Forward, People First” philosophy to inspire innovation and empower our team members to reach their fullest potential. If you are motivated by purpose, excel in solving intricate challenges, and aim to make a positive global impact, we invite you to join Zscaler and help shape the future of cybersecurity.RoleWe are in search of an experienced Senior Staff Machine Learning Engineer to become an integral part of our Engineering team. This hybrid position is based in Bangalore and reports to the Manager of Machine Learning Engineering.In this role, you will guide the technical direction, bridge the divide between research and production, and drive technical excellence throughout the organization. You will lead complex projects, mentor junior engineers, and architect the scalable models and systems that power the world’s leading cloud security platform.Key ResponsibilitiesDesign and implement scalable, reliable, and efficient production-grade Gen AI/ML systems, from data ingestion to monitoring.Drive innovation by researching and assessing emerging AI/ML frameworks, rapidly prototyping innovative solutions, and advocating for full-scale implementation.Establish and uphold robust MLOps practices, including logging, monitoring, and CI/CD pipelines for distributed ML systems.Mentor junior engineers in system design best practices while fostering a culture of technical excellence.Collaborate with cross-functional teams to translate intricate business requirements into impactful technical solutions.
Join Scopely as a Senior Artificial Intelligence Engineer, where you will play a pivotal role in shaping the future of gaming through innovative AI solutions. Collaborate with a talented team of engineers and data scientists to develop cutting-edge algorithms that enhance player experiences and drive engagement. Your expertise in machine learning and AI will be crucial in developing intelligent systems that adapt to user behavior and preferences.
This Senior AI/ML Engineer role is a 12-month contract based in Bangalore, Karnātaka, India, with the possibility of extension depending on performance. The position is part of TransPerfect's collaboration with Motorola, where the selected engineer will join Motorola’s AI group. Motorola is recognized globally in telecommunications, and this team focuses on delivering AI solutions that reach millions of users. Role overview The Senior AI/ML Engineer will design, train, and deploy advanced machine learning models supporting new features across a range of devices and services. The work directly shapes products used by a broad, global audience. What you will do Develop and refine machine learning algorithms for use in production environments. Conduct experiments, evaluate model performance, and recommend practical improvements. Lead and collaborate with engineering teams to deliver AI solutions ready for deployment. Document workflows and results to ensure scalability and support future development. Requirements Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 5-7 years of experience building and deploying machine learning models. At least 3 years in a leadership or lead engineering role. Strong Python programming skills and hands-on experience with ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Solid understanding of data preprocessing, model evaluation, and hyperparameter tuning. Experience with SQL, Pandas, NumPy, and working with both structured and unstructured data. Familiarity with MLOps tools (Docker, Kubernetes, MLflow, Airflow) is a plus. Experience with cloud platforms like AWS, Azure, or GCP is preferred. This contract position offers the chance to work closely with Motorola’s AI team, contributing to projects that have a global impact.
Join Reltio as a Senior AI Engineer, where your expertise will drive innovative AI solutions that transform data into actionable insights. You will collaborate with cross-functional teams to develop and implement advanced algorithms, ensuring scalability and performance. Your role will be pivotal in enhancing our AI capabilities and delivering high-quality products that meet customer needs.
Role overview TGS is hiring a Senior AI/ML Engineer based in Bangalore, Karnātaka, India. This position centers on designing and implementing advanced machine learning algorithms and artificial intelligence solutions. The work plays a key role in transforming data into actionable insights that drive business outcomes. What you will do Develop and deploy machine learning models that power TGS products Collaborate with teams from various disciplines to ensure models remain scalable and effective Enhance user experience by integrating AI-driven features Translate complex data into practical solutions for customers and stakeholders Collaboration This role involves close partnership with cross-functional groups to build and refine models that support product improvements and innovation across TGS.
About UsEpic Kids Inc. is a premier digital reading platform designed for children aged 12 and under, engaging millions of kids, families, and educators across the globe. Our mission is to unlock every child's potential through the power of reading. We provide an expansive library of top-quality books, audiobooks, and educational resources, offering personalized reading experiences driven by data and user engagement insights. As we expand globally, we are committed to investing in intelligent infrastructure and AI-driven systems to innovate how we ingest, process, and deliver content to young readers.About the RoleWe are seeking a Senior Full-Stack Engineer with expertise in media automation and machine learning workflows including OCR, TTS, and Computer Vision. You will take the lead in architecting our content ingestion process, transforming it into a high-velocity, automated pipeline. Your skill set should enable you to shift seamlessly between high-level Angular frontend development and intricate Python/PHP backend logic essential for processing complex media.Your goal will be to connect raw data with usable content, focusing on enhancing the accuracy of automated text extraction and audio synchronization. You will ensure that even the most complex or non-standard content layouts are accurately parsed and presented through a dynamic, high-performance interactive user interface.Key ResponsibilitiesML Pipeline Orchestration: Develop and optimize workflows for OCR and Speech-to-Text, emphasizing spatial accuracy, coordinate mapping for non-standard layouts, and font recognition.Automated Media Alignment: Create and manage systems to synchronize various media formats, such as aligning full-book audio narrations with document text through automated timestamping and segmentation.UI Interaction & State Management: Spearhead the development of the Angular content workbench, addressing complex state issues and ensuring interactive elements (such as coordinate-based 'word boxes') are responsive and precise.Backend Infrastructure: Enhance the PHP backend to support complex media processing tasks while ensuring high performance and reliability.
About OnePayOnePay is a consumer fintech platform trusted by millions of individuals across America to enhance their financial experiences.Our financial system faces significant challenges, including excessive fees and limited growth opportunities. We are on a mission to rectify these issues with rapid innovation.As an all-in-one financial services platform, we integrate banking, high-yield savings, credit cards, point-of-sale lending, investing, and cryptocurrencies into a single solution. In addition, we collaborate with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers.With the backing of Walmart, the world’s largest retailer, and Ribbit Capital, one of the most respected investors in fintech, we possess unique scale and distribution capabilities, allowing us to create something truly groundbreaking.What distinguishes OnePay is our pace. Our customers require prompt solutions, and we share that urgency. We seek individuals who are:Prepared to take the leadMotivated and driven by a sense of urgencyExceptional in their expertise while maintaining humilityComfortable in a dynamic environment
Minimum of 3 years' experience in Python programming with a focus on AI/ML, deep learning, and the development of Generative AI models.Expertise in using TensorFlow, PyTorch, Hugging Face Transformers, and Langchain libraries.Practical experience with Natural Language Processing (NLP), LLM prompt design, fine-tuning, embeddings, vector databases, and agentic frameworks.Deep understanding of machine learning algorithms, probability, and optimization techniques.Over 6 years of experience in deploying models using Docker, Kubernetes, and cloud services such as AWS Bedrock, SageMaker, and GCP Vertex AI, utilizing MLOps and CI/CD pipelines.Knowledge of retrieval-augmented generation (RAG), cache-augmented generation (CAG), retrieval-integrated generation (RIG), and low-rank adaptation (LoRA) fine-tuning.Capability to write scalable, production-ready machine learning code and optimize model inference.Experience in developing machine learning pipelines for text classification, summarization, and chat agents.Familiarity with SQL and NoSQL databases, Snowflake, and Databricks.
Key Responsibilities• Infrastructure Development: Architect, set up, and oversee containerized GPU deployments utilizing Docker.• Multi-modal Project Execution: Seamlessly integrate and deploy machine learning models tailored for audio, video, and image processing applications.• Framework Collaboration: Work closely with data science teams to facilitate the integration of TensorFlow, Keras, and other deep learning frameworks into production workflows.• Kubernetes Optimization: Enhance and manage Kubernetes clusters to ensure scalable and efficient model deployment.• Model Performance Optimization: Employ ONNX and C-based frameworks for highly efficient model execution and scalability.• Continuous Model Monitoring: Track model performance, identify model drift, and ensure the stability of deployed models in operational environments.• End-to-End Pipeline Support: Assist with comprehensive machine learning pipelines, from initial data ingestion to final model deployment.• Cross-team Collaboration: Foster effective communication among cross-functional teams to align on project objectives and deliverables.
Join mexdigital as an AI & ML Engineer in our Bangalore office, where you will have the opportunity to work on cutting-edge artificial intelligence and machine learning projects. You will collaborate with a talented team to develop innovative solutions that drive efficiency and effectiveness across various sectors.
Who We Are:Motive empowers those managing physical operations by providing innovative tools designed to enhance safety, productivity, and profitability. For the first time, safety, operations, and finance teams can oversee their drivers, vehicles, equipment, and fleet-related expenses through a single, integrated system. With cutting-edge AI technology, the Motive platform offers unparalleled visibility and control, significantly minimizing manual workloads through automation and simplification of tasks.Serving nearly 100,000 customers, from Fortune 500 companies to small enterprises, Motive spans a vast array of industries including transportation, logistics, construction, energy, field services, manufacturing, agriculture, food and beverage, retail, and the public sector.Learn more about us at gomotive.com.About The RoleAt Motive, we’re not just looking for engineers—we’re in search of Superbuilders. As a Senior Software Engineer, you will play a pivotal role in designing and developing pioneering AI/ML platforms and large-scale distributed systems, transforming ambitious visions into scalable, high-performance solutions. You thrive on tackling complex technical challenges, swiftly mastering new technologies, and delivering practical solutions that create impact at scale.This position grants you the opportunity to influence technical stack decisions, shape the company’s engineering roadmap, and collaborate closely with technical leads. You will engage in significant workstreams, with the freedom to innovate and take ownership of projects across devices, cloud, and mobile platforms. If you are a self-starter with a data-driven mindset and a passion for excellence, this is the role for you.What You’ll Be DoingArchitect and Build: Design, develop, and optimize high-performance software and firmware for next-gen IoT platforms.Turn Vision into Reality: Collaborate with executive and product teams to translate abstract ideas into actionable engineering plans.Debug and Validate: Troubleshoot and optimize software on complex distributed systems, ensuring security, scalability, and resilience.Develop Automated Testing: Create data test-driven end-to-end simulation frameworks to validate system integrity at scale.Adopt Cutting-Edge Tools: Leverage AI-powered coding tools to enhance productivity and drive innovation.Lead by Example: Act as a technical mentor, fostering a culture of excellence, ownership, and pragmatism across the engineering team.Iterate and Innovate: Embrace rapid iteration and innovation in your work.
GitLab is looking for an AI Engineer to support the ongoing development of its DevOps platform. This position is remote and based in Bangalore. The main focus is on using artificial intelligence to enhance product capabilities and improve user experiences. Key responsibilities Collaborate with engineers to design and refine AI-powered features within GitLab’s platform Use current AI technologies to address real-world challenges in software development Offer ideas and technical solutions that influence how software is built and delivered Collaboration and team culture Work alongside experienced colleagues who prioritize practical outcomes and clear communication. Team members regularly share knowledge, tackle problems together, and contribute to steady project progress.
About ZscalerZscaler stands as a trailblazer and a global authority in zero trust security. Major corporations, critical infrastructure entities, and government agencies worldwide rely on Zscaler to safeguard users, branches, applications, data, and devices, all while expediting digital transformation efforts. Our expansive network, featuring over 160 data centers globally, leverages the Zscaler Zero Trust Exchange platform alongside advanced AI to thwart billions of cyber threats and policy breaches daily, thus maximizing productivity for modern enterprises by minimizing costs and complexities.At Zscaler, the impact you make in your role supersedes titles. We cultivate an environment where trust is established through results and prioritize transparency alongside constructive, honest discussions. Our focus is on rapidly arriving at the best ideas. We develop high-performing teams capable of making swift and quality impacts. Our culture promotes a strong execution focus rooted in customer obsession, collaboration, ownership, and accountability.We advocate for an “AI Forward, People First” philosophy to drive innovation and empower our employees to realize their full potential. If you are motivated by purpose, enjoy tackling complex challenges, and aspire to make a meaningful global impact, we welcome you to bring your expertise to Zscaler and help shape the future of cybersecurity.RoleWe are eager to welcome a Senior Machine Learning Engineer to our Exposure Management & Security Operations team. This hybrid position is based in Bangalore and reports directly to the Sr. Manager of Engineering Strategy, Planning & Analytics. You will become part of the team that constructed the world’s largest cloud security platform from the ground up, helping to scale a multitenant architecture that currently serves over 15 million users globally. Your vision and enthusiasm will be pivotal as we continue to innovate and empower organizations to exploit the speed and agility of a cloud-first strategy.What You’ll Do (Role Expectations)Design and deploy scalable, reliable, and efficient production-grade Gen AI/ML systems, overseeing everything from data ingestion to performance monitoring.Drive innovation by researching and assessing emerging AI/ML frameworks, rapidly prototyping new solutions, and advocating for their full-scale implementation.Implement and uphold robust MLOps practices, including logging, monitoring, and CI/CD pipelines for distributed ML systems.Lead and mentor junior engineers in best practices for system design, fostering technical excellence throughout the team.Collaborate...
Join Tekion as a Senior Machine Learning Engineer, where you will play a pivotal role in shaping the future of automotive technology. In this dynamic position, you'll build and maintain the production infrastructure that transforms machine learning models from Applied Sciences into reliable, low-latency services across Tekion’s diverse product offerings, including DMS, CRM, Digital Retail, and Payments. Collaborate closely with cross-functional teams to drive innovative solutions with measurable impact on dealers and consumers, ensuring a seamless experience throughout the automotive retail ecosystem.
About the TeamJoin our dynamic AI Deployment Engineering team, dedicated to facilitating the secure and effective implementation of Generative AI applications for a diverse array of developers and enterprises. As trusted advisors and thought leaders, we strive to build a compelling backlog of GenAI use cases tailored to various industries, guiding our clients from concept to production with robust technical support. Our clientele ranges from innovative startups to established multinational corporations, all seeking to harness the power of AI.About the RoleWe are in search of a skilled and business-savvy AI Deployment Engineer who is passionate about pushing the boundaries of advanced AI technology with our strategic startup partners. In this role, you will collaborate with some of the most exciting AI startups globally, supporting them through ideation, development, delivery, and scaling to enhance the value of their creations on our platform. You will engage with innovative and creative use cases developed on our API, acting as a vital contributor to gathering and delivering high-quality product and model feedback internally. Close collaboration with Sales, Solutions Engineering, Applied Research, and Product teams is essential, and you will report directly to the Startups Solutions Architecture Lead.This role offers the flexibility of remote work from Bangalore.In this role, you will:Collaborate closely with strategic startup partners as their technical advisor, assisting them in developing innovative applications on our API and expediting their journey from concept to scalability.Provide proactive insights to optimize business outcomes and accelerate the development of applications.Engage in experimental prototyping with customers, showcasing practical applications of AI.Contribute to open-source initiatives and promote growth within the function by sharing knowledge, codifying best practices, and creating valuable resources.Gather and relay meaningful feedback to Product and Research teams.Cultivate relationships within the startup ecosystem, acting as a technical partner for both individual clients and the broader community.You’ll excel in this role if you:Possess 5+ years of experience in software engineering, machine learning engineering, or a related field, preferably within a startup setting; experience as a founder or founding engineer is highly regarded.
Join parspec as an AI Operations Engineer and become a key player in our innovative technology team. In this hybrid role based in Bangalore, India, you will leverage your expertise in AI operations to enhance our processes and deliver cutting-edge solutions. Your contributions will be vital in ensuring the seamless integration of AI technologies into our systems.