Job Title: Data Scientist 2 Company: Epsilon Job Category: Machine Learning Roles & Responsibilities: Overview About Business Unit: The Automotive Practice at Epsilon is a rapidly growing team, driving growth for major players in the automotive industry \- from Original Equipment Manufacturers (OEMs) to dealerships across North America. Part of a 1,600\-member multinational team, the practice provides the automotive world’s largest service reminder platform, alongside agency services and digital media solutions. A leader in the automotive space, the team supports over 50% of auto dealerships in North America and maintains relationships with over 280 million customers. Home to innovation and ground breaking technology, our Auto team leads the game in developing outstanding software and solutions for hyper\-personalized digital marketing. Role Overview The Automotive Data Science team within Epsilon partners both internal and external clients and data providers, leverage predictive analytics and advanced modeling techniques to drive strategic thought and effective decision making. The core work charter includes supporting Retail and After Sales Service businesses for all the OEMs by developing solutions across the Customer Journey to drive Acquisition, Engagement, Retention using Advanced Analytics, Machine Learning, Deep Learning Capabilities and Data Platforms. The Data Scientist, II would support stakeholders by deploying projects from inception to insights and enable business strategy and impact for the clients. Contributes towards automation, process improvement and efficiency. Demonstrates innovative thinking, passion, and cross team collaboration. Establish strong working relationship with partners. Responsibilities * Apply AI, machine learning, and deep learning techniques including regression, classification, clustering, tree\-based algorithms, support vector machines, neural networks, recommender systems, and marketing attribution models to solve complex business problems. * Design and implement end\-to\-end MLOps pipelines covering data ingestion, training, validation, deployment, and monitoring. * Support the deployment, monitoring, and maintenance of machine learning models in production, tracking model performance, data quality, scalability, and model drift to ensure reliable and sustained business value. * Enhance existing analytical methodologies by identifying new data sources, engineering relevant features, experimenting with alternative algorithms, fine\-tuning hyperparameters, and improving model performance and business outcomes. * Define analytical and technical requirements for developing scalable data science capabilities, machine learning platforms, data pipelines, and reusable analytical solutions. * Translate complex analytical findings and model outputs into actionable business recommendations, presenting insights effectively to partners * Automate data science and machine learning workflows to improve operational efficiency, reproducibility, and scalability while collaborating with cross\-functional teams to deliver production\-ready solutions. Additional Information Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels. Epsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400\+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real\-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry\-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world. * People centricity: We focus on employee well\-being in an environment where colleagues truly care about each other. * Collaboration: We work together, support one another, and collectively achieve goals. * Growth: There are endless opportunities for growth through learning, development and career advancement. * Innovation: We drive progress through cutting\-edge solutions and forward\-thinking approaches. * Flexibility: We’ve created a balance between work and personal life, and we encourage adaptability to solve problems creatively. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Senior AI Engineer Company: Enormous Enterprise LLC Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities * Develop, train, evaluate, fine\-tune, and deploy Machine Learning and Deep Learning models. * Apply classification, regression, clustering, feature engineering, model selection, hyperparameter tuning, and model evaluation techniques. * Build AI applications using Python, Scikit\-learn, PyTorch, and/or TensorFlow. * Work with LLM architectures, embeddings, prompt engineering, context management, and LLM evaluation. * Develop RAG pipelines involving document processing, chunking, embeddings, retrieval, reranking, and vector databases. * Design and implement Agentic AI systems, including stateful workflows, multi\-step reasoning, tool calling, planning, routing, and orchestration. * Use LangGraph for agentic workflows and integrate AI agents with APIs, enterprise systems, databases, and external tools. * Apply the Model Context Protocol (MCP) in AI\-agent and tool\-integration workflows. * Build scalable AI services using REST APIs, FastAPI, microservices, and sound software engineering practices. * Support production deployment, monitoring, model versioning, and basic MLOps/LLMOps. * Work with Snowflake for data engineering, analytics, and AI workloads. * Follow responsible AI practices relating to privacy, security, compliance, bias, explainability, and model risk. Preferred Skills * LangGraph and multi\-agent orchestration. * Production\-grade GenAI application development. * Cloud platforms, particularly AWS. * Model deployment, monitoring, and LLMOps. * AI governance, responsible AI, privacy, security, and compliance. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Senior AI/ML Engineer Company: Delta Technology Hub Job Category: Machine Learning Roles & Responsibilities: How You'll Help Us Keep Climbing (Overview \& Key Responsibilities) Role Summary We are seeking a highly skilled Sr AI ML Engineer to design, build, and scale enterprise\-grade AI applications on AWS. This role is responsible for developing AI\-powered products using Amazon Bedrock, AgentCore, foundation models, Retrieval\-Augmented Generation (RAG), agentic AI, and serverless AWS technologies. The role will lead the full AI engineering lifecycle, from use\-case discovery and solution architecture through development, evaluation, deployment, monitoring, and ongoing optimisation. The ideal candidate combines strong software engineering skills with expertise in generative AI, agent orchestration, enterprise integration, security, governance, and cloud\-native architecture. Key Responsibilities AI Application Development * Design, build, and deploy production\-ready AI applications using Amazon Bedrock and supported foundation models. * Develop AI\-powered copilots, knowledge assistants, document intelligence solutions, and intelligent workflow automation. * Implement prompt engineering, structured outputs, tool calling, context management, and model integration patterns. * Build reusable AI services, frameworks, and accelerators that support multiple enterprise use cases. * Develop secure APIs and backend services using Python, FastAPI, AWS Lambda, and API Gateway. * Design and develop intelligent agents using Amazon Bedrock AgentCore and related AWS capabilities. * Build multi\-agent solutions using coordinator\-worker, planner\-executor, and human\-in\-the\-loop patterns. * Implement agent runtime, memory, identity, gateway, observability, browser, and code interpreter capabilities where appropriate. * Enable agents to reason, plan, invoke tools, access approved data sources, and execute controlled business workflows. * Integrate agents with enterprise applications, APIs, databases, and tools using Model Context Protocol (MCP) and other approved integration patterns. * Design and implement RAG architectures using Bedrock Knowledge Bases, embeddings, vector search, and semantic retrieval. * Build enterprise knowledge assistants that use structured and unstructured data such as policies, reports, contracts, and operational datasets. * Optimise document ingestion, chunking, metadata, retrieval, reranking, grounding, and context assembly. * Improve response quality through retrieval evaluation, citation support, relevance testing, and hallucination reduction techniques. * Connect AI applications securely to Amazon S3, Redshift, OpenSearch, DynamoDB, and approved enterprise data sources. * Architect scalable, resilient, and cost\-efficient AI solutions using AWS serverless and managed services. * Build orchestration workflows using AWS Lambda, Step Functions, EventBridge, API Gateway, and container services where required. * Implement AI observability, request tracing, usage metrics, logging, alerting, and operational dashboards using CloudWatch and AgentCore capabilities. * Establish CI/CD pipelines, Infrastructure as Code, automated testing, prompt versioning, and environment promotion practices. * Optimise model selection, inference configuration, latency, throughput, token usage, and overall platform cost. * Implement Amazon Bedrock Guardrails and approved runtime controls for prompts and model responses. * Address risks such as prompt injection, data leakage, hallucinations, unsafe outputs, excessive agency, and unauthorised tool usage. * Apply IAM least privilege, encryption, secrets management, network security, audit logging, and data protection standards. * Build evaluation frameworks to measure accuracy, groundedness, relevance, safety, latency, reliability, and cost. * Ensure AI solutions comply with enterprise architecture, security, privacy, risk, and responsible AI requirements. Technical Leadership \& Collaboration * Define AWS AI engineering standards, reference architectures, reusable patterns, and development best practices. * Lead solution design, architecture reviews, code reviews, testing reviews, and production readiness assessments. * Mentor AI engineers and software engineers in Bedrock, AgentCore, RAG, agentic AI, and cloud\-native development. * Partner with product owners, data engineers, security teams, architects, and business stakeholders to identify and prioritise high\-value AI opportunities. * Translate business needs into scalable AI products with clear success measures and measurable business outcomes. What Will Give You a Competitive Edge (Preferred Qualifications) * Experience with Amazon Bedrock AgentCore, Bedrock Agents, Knowledge Bases, and Guardrails. * Experience with agent frameworks such as Strands Agents, LangGraph, CrewAI, or LangChain. * Experience implementing MCP\-based tool and system integrations. * Experience with vector databases, embeddings, reranking, document processing, and multimodal AI. * Experience with AI evaluation, red teaming, model monitoring, prompt management, and responsible AI controls. * Experience deploying AI solutions in regulated or security\-sensitive enterprise environments. * Experience building AI solutions for Finance, analytics, document automation, or decision\-support use cases. * Relevant AWS AI, Machine Learning, Developer, or Solutions Architect certification. Powered by our employees worldwide, Delta has led the airline industry in operational excellence for a decade while maintaining our reputation for award\-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. About The Delta Technology Hub (DTH), Bangalore The DTH is one of Delta Air Lines' investments in world\-class business capabilities and technology aimed at transforming how Delta Air Lines operates and provides world\-class travel experiences to its customers through innovation and cutting\-edge methodologies. By continuously reimagining processes and driving technology\-led transformation, the Delta Technology Hub plays a pivotal role in Scripting The Future Of Aviation. The organization is certified by the Great Place to Work Institute (India). The Delta Technology Hub was a finalist for the iVolunteer Awards 2024/2025 in the "Leader in Employee Volunteering" category. This nomination highlights our remarkable volunteering initiatives and the outstanding practices we implement to encourage and support our employee volunteering program. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Senior Site Reliability Engineer Company: Okta Job Category: Machine Learning Roles & Responsibilities: Okta authenticates, authorizes, and provision millions of users a day. Internally, TDI Infrastructure Engineering runs the platforms that our own engineering and business teams build on — hosted on AWS, increasingly Kubernetes\-native, and expanding fast to support AI\-driven internal workflows. We're looking for a Senior SRE to help us evolve Site Reliability Engineering from a traditional operations model into a true Platform as a Service (PaaS) organization. As a Senior Site Reliability Engineer on our Bengaluru/India team, you will build and operate the Kubernetes\-based platform that hosts internal workflows across the business, with a growing focus on hosting AI\-driven workflows reliably in production. You'll report to the Manager, Site Reliability Engineering, and work closely with the rest of the India SRE team, as well as global SRE peers. * Building, operating, and improving our Kubernetes platform — cluster management, networking, security posture, and day\-2 operations * Developing self\-service capabilities, golden paths, and automation that let internal teams onboard and operate workflows with less platform expertise required * Supporting the platform's readiness to host AI\-driven internal workflows reliably at scale * Troubleshooting and resolving production issues, including participating in a follow\-the\-sun on\-call rotation shared with SRE peers in the US and India, and driving postmortems for incidents you own * Contributing to and upholding reliability practices — SLIs/SLOs, error budgets, and operational runbooks * Improving CI/CD pipelines and infrastructure\-as\-code practices, including change and release management * Building and maintaining observability and monitoring coverage for the systems you own * Mentoring junior engineers and contributing to design and code reviews * Collaborating with the India team to align local implementation with the broader global platform strategy This role is based in Bengaluru, India. Okta operates a flexible hybrid work model; specific in\-office expectations will be discussed during the hiring process. This role requires regular collaboration with SRE peers and engineers globally, so some flexibility in working hours should be expected. Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy.* * Supporting Your Well\-Being * Driving Social Impact * Developing Talent and Fostering Connection \+ Community Work Location: Karnataka, India Availability: Full time
Job Title: AI Engineer Company: MarLabs Job Category: Machine Learning Roles & Responsibilities: * Design and develop AI/ML PoCs, prototypes, and demonstrations using structured and tabular data for forecasting, risk scoring, churn prediction, optimization, and related business use cases. * Build, train, tune, and evaluate machine learning models using supervised, unsupervised, and semi\-supervised techniques, including XGBoost, CatBoost, LightGBM, clustering, PCA, anomaly detection, and time\-series modeling. * Develop AI/ML workflows using cloud platforms such as AWS SageMaker, Azure Machine Learning, or Databricks ML, supporting scalable model experimentation, training, and deployment. * Collaborate with data engineering teams to design data ingestion, preprocessing, feature engineering, and transformation pipelines using Python, Spark, and cloud\-native technologies. * Partner with sales engineering and business stakeholders during pre\-sales discussions, demonstrations, and technical workshops, translating business challenges into practical AI/ML solutions and effectively communicating model insights and business value. * Apply MLOps and AI engineering best practices across model evaluation, explainability, versioning, deployment, performance monitoring, drift detection, and optimization while developing reusable AI assets for transition to delivery teams. Work Location: Karnataka, India Availability: Full time
Job Title: Cloud Engineer, Data and AI Company: Google Job Category: Machine Learning Roles & Responsibilities: As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products. In this role, you are the Google Engineer working with Google's largest and most ambitious Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise\-grade solutions that leverage Google’s cutting\-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities -------------------- * Provide expert advisory on architectural frameworks and operational best practices for comprehensive Agentic platforms, encompassing deployment, monitoring, evaluation, governance, and security protocols. * Lead comprehensive artificial intelligence initiatives through strategic thought leadership, while identifying agentic workflows and designing robust architectural solutions for advanced agentic implementations. * Deliver effective big data and machine learning solutions and solve complex technical customer challenges. * Identify new product features and feature gaps, provide guidance on existing product challenges, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform. * Provide expert guidance on architectural data strategies to ensure optimized utilization across different AI models. Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. Work Location: Karnataka, India Availability: Full time
Job Title: Senior Data Scientist – Search Company: SproutsAI Job Category: Machine Learning Roles & Responsibilities: About The Role We are looking for a talented Data Scientist to join customer's team and drive impactful machine learning solutions. You will work on complex, high\-impact problems by turning ambiguous business challenges into clear quantitative frameworks and production\-ready ML models. This role offers the opportunity to build, evaluate, and optimize models that directly influence product and business decisions. Key Responsibilities * Develop and evaluate machine learning models using techniques such as regression, classification, tree\-based methods (e.g., Random Forest, XGBoost, LightGBM), and clustering on large\-scale datasets * Apply both supervised and unsupervised learning approaches to solve real\-world problem * Perform end\-to\-end model development: feature engineering, feature selection, model tuning, hyperparameter optimization, and rigorous model evaluation. * Translate vague business requirements into well\-defined data science problems and deliver actionable ML solutions. * Collaborate with cross\-functional teams (Product, Engineering, Business) to identify opportunities and measure impact. * Monitor model performance and continuously improve existing solutions This is an urgent role, early joiners will be preferred* Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Advanced Data Science Associate Company: ZS Job Category: Machine Learning Roles & Responsibilities: ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you’ll work side by side with a powerful collective of thinkers and experts shaping life\-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client\-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life\-changing impact to ZS. Insights \& Analytics ZS's Insights \& Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem\-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. How you’ll grow: * Cross\-functional skills development \& custom learning pathways * Milestone training programs aligned to career progression opportunities * Internal mobility paths that empower growth via s\-curves, individual contribution and role expansions How you’ll grow: * Cross\-functional skills development \& custom learning pathways * Milestone training programs aligned to career progression opportunities * Internal mobility paths that empower growth via s\-curves, individual contribution and role expansions Perks \& Benefits: At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you’ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in India, visit ZS India office locations \| Where we work \| ZS. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Data Scientist Company: IMI Job Category: Machine Learning Roles & Responsibilities: Role Overview We are seeking a highly skilled and motivated Data Scientist with AI expertise and 6\+ years of experience to join the Digital Solutions team. The role will drive business value through advanced analytics, machine learning, artificial intelligence, and data\-driven decision support across enterprise processes. The successful candidate will partner with business stakeholders, data engineers, software developers, and digital transformation teams to identify opportunities, design AI\-powered solutions, and deploy scalable models into production. The role requires a strong blend of hands\-on data science, Generative AI, cloud technology, stakeholder engagement, and practical delivery experience. Key Responsibilities AI \& Machine Learning Development * Design, develop, and deploy machine learning and AI solutions to address complex business challenges. * Build predictive, prescriptive, and classification models using structured and unstructured data. * Develop and optimize Generative AI solutions, including LLM\-based applications, RAG architectures, AI assistants, and intelligent automation workflows. * Evaluate, monitor, and continuously improve model performance and accuracy. Data Science \& Analytics * Perform exploratory data analysis to identify trends, opportunities, and business insights. * Develop statistical models and advanced analytical solutions to support strategic decision\-making. * Translate business requirements into analytical frameworks and measurable outcomes. * Create dashboards, visualizations, and reports that communicate insights effectively to technical and non\-technical stakeholders. Data Engineering \& Solution Delivery * Collaborate with data engineering teams to establish scalable data pipelines and AI\-ready data platforms. * Ensure data quality, governance, and compliance standards are maintained across analytical solutions. * Support deployment, monitoring, and lifecycle management of AI and machine learning models. Stakeholder Management * Partner with business leaders to understand operational challenges and opportunities. * Present findings, recommendations, and AI roadmaps to leadership teams. * Provide technical guidance and mentoring to junior data scientists and analysts. * Collaborate with global teams and external partners to deliver data\-driven solutions. Communication \& Influencing * Excellent stakeholder management and presentation skills. * Ability to explain complex technical concepts to business audiences. * Strong written and verbal communication skills. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Senior AI/ML Engineer [T500-28124] Company: lululemon Job Category: Machine Learning Roles & Responsibilities: Core responsibilities: As a Senior AI/ML Engineer, you will lead the delivery of scalable AI/ML solutions to business problems. You will build, deploy, scale and maintain AI/ML solutions. You will apply engineering best practices, implement rigorous evaluation frameworks, and design MLOps and observability standards. You will be the technical authority for ML engineering challenges from setting up model training and fine\-tuning to architectures and system design for serving AI/ML inference solutions in production. You will help drive AI/ML engineering excellence through mentorship, design reviews, and platform investment. In this role, you will own technical delivery and partner with applied scientists, software engineers, and product teams to realize AI capabilities into production. Select responsibilities include: * Lead delivery of applied AI/ML solutions, including data pipelines, model training and experimentation infrastructure, evaluation systems, production\-ready pipelines and APIs, and ML Ops for monitoring models or solutions in production. * Define ML engineering standards for model development, evaluation, and deployment; implement reusable training pipeline templates * Design and implement model evaluation systems and tooling including benchmark suites, human evaluation workflows, and online experiment platforms in partnership with applied science teams * Lead architecture and engineering of LLM and GenAI systems including RAG pipelines, fine\-tuning infrastructure, and agentic frameworks * Build and maintain AI observability frameworks covering model performance, data drift, training health metrics, and responsible AI monitoring * Build and operate distributed training pipelines for advanced ML and GenAI models * Implement scalable model serving architectures for real time and batch inference * Developing reusable MLOps components to support experimentation, deployment, monitoring, and rollback * Partner with AI/ML scientists to productionize models while meeting accuracy, performance, reliability, and responsible AI requirements * Acknowledge the presence of choice in every moment and take personal responsibility for your life. * Possess an entrepreneurial spirit and continuously innovate to achieve great results. * Communicate with honesty and kindness and create the space for others to do the same. * Lead with courage, knowing the possibility of greatness is bigger than the fear of failure. * Foster connection by putting people first and building trusting relationships. * Integrate fun and joy as a way of being and working, aka doesn’t take yourself too seriously. Work Location: Bengaluru, Karnataka, India Availability: Full time
