Job Title: Senior Data Scientist (GenAI, NLP, Healthcare AI) Gurgaon OR Noida Company: Amplify Health Job Category: Machine Learning Roles & Responsibilities: Amplify Health Asia Pte. Limited (Amplify Health) is a pan\-Asian health technology and analytics company which brings together health technology assets, proprietary data analytics and healthcare expertise to support innovation across the healthcare value chain. Amplify Health develops integrated solutions that empower healthcare payors, providers and policymakers across Asia to identify value and drive new partnerships, understand variation and address systemic inefficiencies—with the aim of improving outcomes for individuals and the sustainability of health systems. Powered by a clinically enriched data foundation, Amplify Health’s health intelligence platform combines modular AI solutions, context\-aware automation and deep regional insights to offer localised, AI\-powered health solutions spanning health payment integrity to chronic disease management. The company’s technology has earned recognition at several industry competitions, including the Celent Model Insurer Awards, ITC Asia Awards and SBR Technology Excellence Awards. To build the leading healthcare AI and platform services company in Asia that transforms the delivery of health and wellness for patients and communities by combining and leveraging the distinctive and complementary assets and strengths of AIA and Discovery. By 2028, Amplify Health will have in place one of Asia’s strongest health\-tech and AI capabilities; a comprehensive, integrated health technology stack supported by precision insights derived from proprietary data pools. Role Overview We are hiring a Senior Data Scientist to serve as a recognised organisational expert in Generative AI, Agentic AI, and healthcare AI systems. This role shapes the Data \& AI technical strategy and architecture, leads complex and high\-impact AI initiatives, and establishes reusable, responsible AI capabilities across products and markets. The ideal candidate combines exceptional depth in LLMs, RAG and agentic systems with broad architectural, data, analytics, product and healthcare domain judgement. The candidate defines how reliable AI systems should be designed, evaluated, governed and scaled, while developing the technical community through mentorship, standards and thought leadership. Responsibilities * Translate ambiguous business and healthcare problems into structured AI solutions with clear measurement frameworks, success metrics and delivery pathways. * Define the enterprise technical strategy, reference architectures and capability roadmap for NLP, Generative AI, retrieval\-augmented generation, multimodal AI and agentic systems. * Act as the senior technical authority for high\-risk and high\-impact AI systems; make architecture trade\-offs across model selection, prompting, fine\-tuning, retrieval, tool use, memory, orchestration, latency, cost, security and maintainability. * Lead technical due diligence for foundation models, embedding models, vector stores, orchestration frameworks and vendors, including build\-versus\-buy and model\-risk decisions. * Lead the design of production\-grade AI systems where LLMs, RAG, NLP and agents are core runtime components of the delivered solution, not merely development aids. * Define patterns for agent planning, tool use, permissions, state and memory, observability, fallback mechanisms, human\-in\-the\-loop controls and safe failure handling. * Shape reusable AI platforms, knowledge services, evaluation harnesses, guardrails and LLMOps capabilities in partnership with engineering, technology, cybersecurity, risk and product leaders. * Clearly distinguish development\-process automation from runtime AI\-system behaviour: govern coding and analysis assistants as productivity tools while separately engineering and validating RAG, LLM and agentic components that operate within delivered AI systems. * Establish rigorous evaluation frameworks covering task quality, groundedness, retrieval performance, hallucination risk, safety, robustness, bias, privacy, latency, cost and human oversight. * Define governance standards for AI system design, validation, monitoring, model risk, human accountability, auditability and responsible AI practices. * Ensure AI systems are designed with appropriate controls for healthcare privacy, security, compliance, explainability, fairness and operational safety.. AI\-Assisted Development and Productivity * Champion the responsible adoption of modern AI\-powered development tools, such as coding assistants, analytical copilots and platform\-native AI assistants, to streamline model development, automate repetitive tasks, accelerate analytical insights and improve engineering productivity. * Define approved usage patterns, quality controls, adoption metrics and value measures for AI\-assisted development and process automation. * Ensure productivity tools are adopted responsibly without compromising security, intellectual property, scientific quality or decision accountability. * Influence executive strategy, investment and risk decisions by communicating evidence, uncertainty, trade\-offs, expected impact and operational implications. * Build organisational capability through mentorship, standards, training, communities of practice and external thought leadership. * Develop senior technical talent and raise the overall quality of AI system design, scientific reasoning and production delivery across the function. Work Location: Gurugram, Haryana, India Availability: Full time
Job Title: ETL Data Engineer – AI/ML & LLM Company: Technology Next Job Category: Machine Learning Roles & Responsibilities: Work Location: Hybrid – PAN India We are looking for an experienced ETL Data Engineer with strong expertise in Azure Databricks, Python, Apache Spark, and AI/ML/LLM technologies. The ideal candidate should have hands\-on experience designing, developing, deploying, and optimizing scalable ETL/ELT data pipelines to support enterprise analytics, business intelligence, and machine learning solutions. Key Responsibilities \- Design, develop, and maintain scalable ETL/ELT pipelines using Azure Databricks, Lakebase, Python, and Apache Spark. \- Develop complex SQL queries and perform query and performance optimization. \- Implement CI/CD and DevOps automation using Terraform and GitHub Actions. Work Location: Hybrid remote in Noida, Uttar Pradesh Work Location: Uttar Pradesh, India Availability: Full time
Job Title: ETL Data Engineer – AI/ML & LLM Company: Technology Next Job Category: Machine Learning Roles & Responsibilities: Work Location: Hybrid – PAN India We are looking for an experienced ETL Data Engineer with strong expertise in Azure Databricks, Python, Apache Spark, and AI/ML/LLM technologies. The ideal candidate should have hands\-on experience designing, developing, deploying, and optimizing scalable ETL/ELT data pipelines to support enterprise analytics, business intelligence, and machine learning solutions. Key Responsibilities \- Design, develop, and maintain scalable ETL/ELT pipelines using Azure Databricks, Lakebase, Python, and Apache Spark. \- Develop complex SQL queries and perform query and performance optimization. \- Implement CI/CD and DevOps automation using Terraform and GitHub Actions. Work Location: Hybrid remote in Noida, Uttar Pradesh Work Location: Noida, India Availability: Full time
Job Title: IT Recruiter – Domestic Hiring Company: MNR Solutions Pvt. Ltd. Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities * Oracle and SAP * Data Engineer and Data Scientist * Snowflake Developer * Python AI/ML Engineer * Project Manager * Power BI Developer * GCP Architect * Automation Test Lead * .NET Developer * Test Engineer and Automation Engineer Work Location: In person Work Location: Noida, India Availability: Full time
Job Title: IT Recruiter – Domestic Hiring Company: MNR Solutions Pvt. Ltd. Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities * Oracle and SAP * Data Engineer and Data Scientist * Snowflake Developer * Python AI/ML Engineer * Project Manager * Power BI Developer * GCP Architect * Automation Test Lead * .NET Developer * Test Engineer and Automation Engineer Work Location: In person Work Location: Noida, India Availability: Full time
Job Title: Senior Professional Consultant AI, Software Engineer Company: Alto Products Job Category: Machine Learning Roles & Responsibilities: Vibracoustic is a leading global automotive supplier, providing customized solutions that add comfort to mobility by reducing noise and vibration in vehicles. At Vibracoustic, you will enjoy a safe and collaborative environment and global opportunities. Ready to drive comfort with us? location\on Morinda Noida On\-Site trip\origin Vibracoustic India Pvt. Ltd. You support our team as Senior Professional Consultant AI, Software Engineer ======================================================== ### Responsibilities * Build AI\-enabled application components with Azure AI Foundry / Azure OpenAI, including RAG patterns, grounding strategies, and safe prompt designs. * Design and implement Copilot solutions with Microsoft Copilot Studio, including conversational flows, prompt engineering, orchestration logic, plugins/actions, and required integrations. * Develop backend services and extensibility components (APIs, custom connectors, automation) using JavaScript/TypeScript, C\#, or Python; integrate with Microsoft Graph, Dataverse, Microsoft Fabric, Logic Apps, and M365 extensibility (e.g., Teams). * Apply cloud\-native and event\-driven patterns—stateless services, scalability, environment separation, and asynchronous messaging (e.g., Azure Event Hubs). * Deliver secure, end\-to\-end solutions covering authentication, authorization (Entra ID/RBAC/managed identities), environment strategies, lifecycle governance, and compliance with corporate data protection policies. * Support DevOps and CI/CD for Copilot and AI assets: Git\-based workflows, versioning, automated testing, GitHub Action pipelines, and environment promotion/release management. * Implement monitoring, telemetry, analytics, and performance optimization using Azure Application Insights, Azure Monitor, and Power BI, ensuring reliability and continuous improvement. * Apply Responsible AI practices — testing, evaluation, guardrails/safety, and continuous improvement of copilots and AI experiences. * Translate business requirements into scalable, secure, and maintainable AI/Copilot architectures, producing design artifacts and implementation guidelines. * Collaborate with product owners, architects, and business stakeholders; work with data engineers, platform, and security teams to deliver end\-to\-end solutions; provide documentation, best practices, and handover/enablement materials. * Stay up to date with emerging technologies and industry trends and apply them to enhance software engineering processes and technologies for the organization’s ### Qualifications Work Location: PB, India Availability: Full time
Job Title: GenAI / AI - Sr. Engineer Company: Iris Software Job Category: Machine Learning Roles & Responsibilities: Shift: 1:00 PM\- 10:00 PM IST Key Responsibilities * Design and develop GenAI/LLM\-based applications using Python. * Build and implement Retrieval\-Augmented Generation (RAG) pipelines for enterprise use cases. * Develop AI workflows and agentic applications using LangChain and LangGraph. * Design and implement vector search and semantic retrieval using PostgreSQL and PGVector. * Work with LLMs, embeddings, prompt engineering, document processing, and context retrieval. * Develop scalable and production\-ready AI services and APIs using Python. * Deploy and integrate AI applications with AWS cloud services. * Optimize RAG pipelines for accuracy, relevance, latency, and scalability. * Work closely with product, engineering, and data teams to translate business requirements into AI solutions. * Write clean, maintainable, testable, and well\-documented code. * Troubleshoot performance, integration, and production issues related to AI applications. * 5\+ years of software development experience * Strong hands\-on experience with Python * Strong experience with PostgreSQL * Hands\-on experience with PGVector / vector databases * Strong understanding and implementation experience of RAG (Retrieval\-Augmented Generation) * Hands\-on experience with LangChain * Hands\-on experience with LangGraph * Good experience with AWS and cloud\-based application deployment * Understanding of LLMs, embeddings, vector search, prompt engineering, and AI application architecture Work Location: Noida, Pune, Gurugram, India Availability: Full time
Job Title: Senior Python with AI Engineer Company: Algoleap Technologies Job Category: Machine Learning Roles & Responsibilities: Role summary The Senior FDE builds and ships AI features on GCP end to end, working closely with client users. They are the pod's hands\-on technical anchor and guide the two Junior FDEs day to day. Key responsibilities Build and deploy AI solutions on GCP from design through production Develop GenAI and LLM features: prompt pipelines, RAG, tool calling and agent workflows Lead debugging of production issues and drive fixes to closure Work Location: Noida, India Availability: Full time
Job Title: Junior Python with AI Engineer Company: Algoleap Technologies Job Category: Machine Learning Roles & Responsibilities: Role summary The Junior FDE builds, tests and supports AI solution modules on GCP under the guidance of the Senior FDE and POD Lead. The role suits an engineer who wants hands\-on GenAI delivery and regular client exposure. Key responsibilities Develop and test Python modules, APIs and data pipelines for assigned features Deploy and maintain services on GCP (Cloud Run, Cloud Functions, Cloud Storage) Support voice and document workflows: configure speech and OCR services, test outputs, fix edge cases Voice and document management: familiarity with speech\-to\-text, text\-to\-speech or OCR / document extraction tools * 2\+ Years in Strong foundation in Python programming including functions, classes, object\-oriented programming (OOP), exception handling, file processing, and collection frameworks. * Understanding of core Python concepts including generators, decorators, list comprehensions, iterators, and package management. * Knowledge of fundamental Data Structures including Arrays, Strings, Linked Lists, Stacks, Queues, Hash Maps, Sets, and Trees. * Understanding of basic Algorithms including Sorting, Searching, Recursion, and Traversal techniques. * Ability to write clean, modular, maintainable, and testable Python code. * Basic understanding of time and space complexity analysis. * Experience solving coding problems through academic, personal, or professional projects. Work Location: Noida, India Availability: Full time
Job Title: Software Engineer - AI/ML Company: Siemens Job Category: Machine Learning Roles & Responsibilities: Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost\-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. We are seeking a talented and versatile AI / Machine Learning Engineer with 1-3 years of experience to design, build, and deploy production\-grade AI\-powered capabilities across our electronic design and verification tools. In this hands\-on engineering role, you will contribute to the design and implementation of AI/ML pipelines and Agentic AI systems, bridge modern GenAI architectures with robust software engineering, and integrate intelligent capabilities directly into engineering workflows. Collaborating closely with domain experts, software architects, and product teams, you will translate cutting\-edge AI concepts—such as intelligent copilots, multi\-step reasoning agents, and automated EDA verification assistants—into reliable, scalable, and high\-impact solutions. Key Responsibilities * Design, implement, and deploy end\-to\-end AI/ML and Agentic AI solutions integrated into EDA software workflows and developer environments. * Build and enhance intelligent agent systems capable of automated reasoning, planning, multi\-step execution, and tool usage using modern frameworks (LangGraph, Model Context Protocol / MCP, etc.). * Develop and optimize production Retrieval\-Augmented Generation (RAG) pipelines, leveraging vector databases, hybrid retrieval, metadata filtering, and semantic reranking. * Build robust data preprocessing, feature extraction, model inference, and evaluation pipelines adhering to clean code, testability, and CI/CD practices. * Work closely with domain experts (chip design, verification), product managers, and core software engineering teams to formulate AI use cases, prototype solutions rapidly, and harden them into production. * Ensure robust model safety, evaluation against hallucinations, prompt injection defenses, IP protection, and compliance with enterprise security and governance standards. Work Location: Noida, India Availability: Full time
