Sr. AI/ML Developer

Experience: 6–10+ yearsEmployment Type: Full-timeRole SummaryWe are looking for an experienced AI/ML Engineer to design, develop, deploy, and scale advanced machine learning and AI-driven solutions. The ideal candidate should have strong hands-on experience with Python, deep learning frameworks, LLMs, data pipelines, and cloud technologies.Key ResponsibilitiesDesign and build end-to-end ML pipelines for training, validation, deployment, and monitoring.Develop and optimize ML models including supervised, unsupervised, and deep learning algorithms.Work with LLMs, embeddings, vector databases, and retrieval-augmented generation (RAG) systems.Implement model evaluation, experimentation (A/B testing), and performance tuning.Collaborate with data engineering teams to build scalable data ingestion and preprocessing pipelines.Develop APIs/microservices for deploying ML models into production environments.Integrate AI models with cloud platforms (AWS/GCP/Azure).Research and implement new AI techniques, tools, frameworks, and best practices.Work closely with product, engineering, and business stakeholders to translate requirements into AI solutions.Required SkillsStrong programming skills in Python.Hands-on experience with ML/DL frameworks:Solid understanding of:Experience building RAG applications, prompt engineering, and using LLM APIs (OpenAI, Anthropic, Azure OpenAI).Proficiency with data processing tools:Experience with vector databases (FAISS, Pinecone, Chroma, Weaviate).Good understanding of MLOps tools:Strong understanding of algorithms, data structures, model evaluation, and production-grade coding.Good to HaveExperience building agentic AI systems or autonomous agents.Knowledge of LangChain, LlamaIndex, Haystack.Experience with Kafka, event streaming, or real-time inference.Familiarity with microservices (FastAPI / Flask).Exposure to security, data governance, and responsible AI.Domain knowledge (FinTech, BFSI, Healthcare, Retail, etc.).EducationBachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.J-18808-Ljbffr