Total Experience: 8+ Years | Relevant Exp:6 + years

Main Skills

- Advanced proficiency in Python. Experience with full stack development is a plus.
- Architecting enterprise-grade agentic systems, AgentOps, MLOps, and technical leadership, Agent Governance, Agent Security
- Develop, evaluate, and fine-tune Large Language Models, build prompt engineering pipelines, and implement RAG-based systems for semantic search and question-answering.
- Build, deploy, and manage autonomous AI agents utilizing frameworks like LangChain, LlamaIndex, or AutoGen
- Optimizing existing generative AI models for improved performance, scalability, and efficiency.
- Deep knowledge of PyTorch, TensorFlow, or Keras.
- Experience with Hugging Face, Ollama ecosystem and ecosystem tooling.
- Design and maintain embeddings pipelines, process unstructured data, and manage vector databases (e.g.,



Pinecone, Pgvector, Chroma)
- Package, containerize, and deploy AI models into production using MLOps best practices (CI/CD, version control, and model monitoring)
- Partner with Data Scientists, Product Managers, and enterprise architects to align AI features with business goals.
- Familiarity with cloud platforms (AWS, GCP, or Azure), Docker, and Kubernetes
- Proficiency in CI/CD for ML models and A/B testing frameworks
- Solid knowledge of data structures, SQL, multi-threading, and APIs (RESTful, Odata).
- Knowledge of SAP BTP Services

Optional Skills

- Databricks, Databricks Genie, Snowflake
- SAP Business AI Platform

📌 Consulting Lead - AI ML (Thiruvananthapuram)
🏢 Applexus
📍 Thiruvananthapuram