Senior AI/ML Engineer - Oracle AI Development in Delhi, India

... automation, machine learning or generative AI, rather than applying AI by default. Commitment to continuous learning in data, AI, cloud engineering and the maritime domain. Reliable, maintainable and well-tested data and AI workflows that improve product quality and team efficiency. Clear evidence that AI-assisted outputs are evaluated, ...

... retrieval-augmented generation (RAG) systems Develop and optimize prompts, evaluation frameworks, and guardrails for LLM-powered applications Engineer scalable data and ML pipelines in Databricks using PySpark, Delta Lake, and MLflow Deploy, monitor, and maintain models in production on Azure (Azure AI Foundry, Azure OpenAI, Azure ...

... sub-prime and near-prime customers in a fintech environment with short model build cycles. - Fraud & Risk Defense: Design and deploy real-time decisioning rules and ML systems to detect synthetic fraud, digital identity theft, account takeovers, and transactional fraud. - Feature Engineering: Mine complex, large-scale, and alternative ...

• Full-time

... We're Looking For:Must Have:- 5+ years of Product Management experience.- 2+ years of hands-on experience working with AI/ML/GenAI products.- Experience taking an AI product from idea to MVP to production to optimisation.- Strong analytical and data-driven approach.- Strong understanding of LLMs, Generative AI, AI agents, RAG, ...

... Strong programming skills in Python and experience with ML libraries (e.g., Experience with NLP techniques and working with LLMs (e.g., Familiarity with prompt engineering, fine-tuning, and model deployment on Azure. - Experience with vector databases (e.g., Azure AI Search, FAISS). MLflow, Azure DevOps). Experience with data ...

• Hybrid
• Full-time

... years of experience in AI/ML, including model development, data preprocessing, EDA, training, and evaluation. - 2+ years of hands‑on experience in Generative AI (LLMs, embeddings, RAG, LLM‑based apps). - 6+ months of hands‑on experience with Agentic AI frameworks (CrewAI / AutoGen / LangGraph / LangChain Agents). - Strong ...

312k

... learn. Senior Software Engineer - AI Engineer Design, develop, and deploy LLM-powered applications (chatbots, copilots, document intelligence systems) Develop AI agents and autonomous workflows using modern frameworks Perform prompt engineering and evaluation to improve output quality Integrate GenAI models with enterprise ...

Role –Gen AI Engineer Location: PAN India Exp: 5+ years Mode Of Interview - F2F Job Description Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative ...

• Full-time

... enforce Claude Code development best practices, coding standards, and review processes for the engineering team. Mentor junior and mid-level engineers on agentic AI patterns, prompt engineering, and pharma commercial data concepts. Lead architectural reviews, design documentation, and technical roadmap planning for the AI ...

... AI, Generative AI, LLMs and industry trends . Contribute to the development and adoption of AI/Generative AI best practices, standards and frameworks . Drive AI innovation and Agentic AI adoption within the organization. Ensure appropriate application of Responsible AI and AI ethics principles. Required Skills - 8–10 years ...

• Full-time

... Celery or other queue mechanism is Must Good to Have: - Experience working with Docker and cloud platforms (AWS/GCP/Azure) is good to have - Familiarity with ML model serving is Nice to have. - Exposure to GenAI (e.g., llama, OpenAI, HuggingFace, LangChain, Agentic AI etc) or Data Engineering (e.g., Data platforms, pandas, ...

Description :AuxoAI is hiring a Senior Applied AI Engineer to design and deploy production-grade AI agents capable of structured reasoning, planning, and https://jobeax.com/link/zur1j9KkFSPiSZ7e role focuses on building intelligent agent systems that combine LLM-based reasoning with classical planning, search algorithms, ...

... business requirements into clear technical designs and execution plans.- Review architecture, code quality, and engineering best practices; ensure scalable and maintainable solutions.- Drive adoption of AI capabilities (e.g., ML models, GenAI, intelligent automation) in engineering solutions where applicable.- Proactively ...

... stakeholders, product teams, and engineering squads to translate complex business requirements into robust technical solutions that enable advanced analytics, AI/ML, and data-driven decision-making across insurance focused business domains. Key Responsibilities: Lead the end-to-end architecture and solution design for enterprise ...

... complex customer requirements, and drive multiple projects that improve customer experience and business outcomes. The SPM will play a pivotal role in managing AI-integrated product deliveries , working alongside engineering and design teams, and ensuring that the final solutions meet client expectations and organizational ...

... Define enterprise AI reference architecture and roadmap.- Mentor engineers and ML teams on best practices for agentic AI design.- Lead build vs buy decisions for AI platforms and tools.- Establish AI cost governance and FinOps framework.- Drive cross-functional alignment between business, data, and engineering https://jobeax.com/link/7CpQ1UBuqJUS25b5 ...

• Remote

... in previous roles — replacing manual/repetitive steps with tools, scripts, or AI-assisted workflows. - An "AI-native" way of working — comfortable using LLMs/AI copilots as part of daily workflow (analysis, documentation, communication, process design), not just as a novelty. - Experience working with AI/ML teams and understanding ...

• Hybrid

... estimated cost, time, and quality within planned scope. Covers management of risks that affect the delivery of project outcomes. Lead the full project lifecycle for AI/ML and GenAI initiatives — scoping, planning, resourcing, execution, and closure — using Agile, Scrum, or hybrid methodologies. Manage cross-functional squads ...

• Remote
• Hybrid
• On-site

... of both traditional and AI components. You will lead a team of software and AI engineers, coaching and mentoring them. Familiarity with CI/CD, test-driven development, and evaluation-driven development (eval harnesses for AI features) will be a benefit. Responsibility Area: Software Development Develop intuitive AI-native ...

... Prompt Engineering, and AI solution design.- Experience designing enterprise-scale AI, data, cloud, and integration architectures.- Hands-on experience with Azure AI Services, Azure OpenAI, AWS AI/ML, GCP AI, or equivalent cloud AI ecosystems.- Strong understanding of MLOps, data pipelines, API integrations, and modern AI application ...