senior AI/ML engineer(LLM,Python)

Mandatory criteria

Strong Senior AI Engineer Profile with production-grade LLM and Python expertiseMandatory (Experience 1): Must have at least 3+ years of professional AI/ML engineering experience with demonstrated track record of delivering production-grade AI systems in real-world environmentsMandatory (Tech skill 1): Must have strong programming skills in Python and SQL, with hands-on ML/data libraries (scikit-learn, pandas, numpy) and deep-learning frameworks (PyTorch or TensorFlow), plus REST API designMandatory (Experience 2): Must have hands-on experience building and deploying production-grade ML/LLMs including RAG pipelines, document parsing, information extraction, and text processing on large-scale unstructured data (preprocessing, chunking, embeddings, feature engineering)Mandatory (Tech skill 2): Must have strong NLP / extraction-focused ML depth — transformers, embeddings, vector databases, RAG, LLM integrations, and agentic workflows.Mandatory (Tech skill 3): Must have hands-on experience with AWS (SageMaker, Bedrock, EC2, Lambda) and Azure (AI Foundry, Azure OpenAI) for model training, fine-tuning, deployment, and inference at scaleMandatory (Tech skill 4): Must have experience with multi-agentic frameworks / orchestration tools (Claude Code, LangGraph, LangChain, CrewAI)Mandatory (Tech skill 5): Must have hands-on experience with MLOps ecosystem including experiment tracking (MLflow, Weights & Biases), model versioning/registry, automated retraining, and CI/CD (GitHub Actions, Azure DevOps, Docker, Kubernetes)Mandatory (Tech skill 6): Must have experience with evaluation frameworks (precision, recall, F1, field-level accuracy) and iterative model improvement, plus AI observability (Prometheus, Grafana, SLOs).Mandatory (Team Leadership): Must have experience leading projects or teams, managing technical deliverables, and mentoring, with strong problem-solving in ambiguous challengesMandatory (Education) - B.Tech or B.E. If graduated in BCA or BSc, they should have a Maters or Post graduationMandatory (Company): B2B Tech/Consulting/B2B SoftwarePreferred criteriaPreferred (Certification): AWS certifications (Solutions Architect, Machine Learning Specialty), Azure certifications (AI Fundamentals, AI Engineer Associate), or Databricks certifications (Machine Learning Professional, Generative AI Engineer Associate)Preferred (Methodology): Experience in Agile development methodologiesPreferred (Tools): Data pipeline/orchestration (Apache Kafka, Airflow); certifications — AWS (Solutions Architect, ML Specialty), Azure (AI Engineer Associate), Databricks (ML Professional, GenAI Engineer Associate).

interested candidate send resume to [email protected]

Pay: ₹1,700,000.00 - ₹2,800,000.00 per year

Work Location: In person