Role: AIML Engineer-ML/DS+Agentic AI Exp: 4-6 years Locations: Chennai, Pune, Hyderabad, Bangalore, Delhi/NCR Priority: High Key Responsibilities

- Design, develop, and deploy production-grade AI/ML solutions across classical ML, deep learning, GenAI, and Agentic AI.
- Apply machine learning and statistical modeling techniques to solve complex business problems.
- Build LLM-powered applications, including RAG, prompt engineering, AI agents, and multi-agent workflows.
- Design and implement agentic AI solutions and multi-LLM orchestration for enterprise use cases.
- Develop scalable and maintainable Python-based AI/ML applications with solid software engineering practices.
- Work with large datasets using SQL, Spark, and cloud-based data platforms.
- Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
- Drive AI solutions through experimentation, development, validation, deployment, and continuous improvement.
- Communicate technical solutions, insights, and outcomes effectively to senior stakeholders and non-technical audiences.
- Mentor engineers and contribute to technical architecture and best practices at the Staff level.

Required Skills & Experience
- 5–6+ years of professional experience in AI/ML Engineering, Data Science, or a related field,



with strong hands-on development experience.
- Strong foundation in classical ML, Deep Learning, and statistical modeling.
- Strong programming skills in Python and solid software engineering fundamentals.
- Hands-on experience with PyTorch and/or TensorFlow.
- Strong experience with SQL and familiarity with distributed computing frameworks such as Apache Spark.
- Hands-on experience building and deploying production AI/ML systems.
- Experience with Generative AI, LLMs, prompt engineering, RAG, and AI application development.
- Experience building AI agents / Agentic AI workflows and working with multiple LLMs.
- Experience with cloud platforms, preferably Azure, and modern data/Lakehouse platforms such as Databricks.
- Strong problem-solving, stakeholder management, and communication skills.

Good to Have
- Experience with MLOps, including MLflow, model versioning, CI/CD, monitoring, retraining, and model drift detection.
- Experience with vector databases, embeddings, semantic search, and retrieval architectures.
- Experience with multi-agent frameworks and LLM orchestration.
- Knowledge of semiconductor manufacturing, NAND Flash, storage technologies, or hardware/electronics.
- Cloud certifications across Azure, AWS, or GCP.

📌 AIML Engineer-ML/DS+Agentic AI (Delhi)
🏢 Tiger Analytics
📍 Delhi