About the role
Job responsibilities: Build and deploy ML models for production, leveraging deep learning for NLP, NLU, ASR, and computer vision. Utilize agentic AI frameworks (LangChain, LangGraph) and optimize GenAI models with RAG, Transformers, and VectorDBs. Manage large-scale training/inference using Databricks and PySpark; perform advanced statistical analysis and dimensionality reduction. Develop scalable AI platforms, integrate ML solutions via REST APIs, Docker, and cloud services (Azure/AWS).
Required skills: Experienced AI/ML professional with 8+ years overall experience and 3+ years in deploying AI projects to production. Skilled in Agentic AI frameworks (LangGraph, LangChain), Large Language Models (LLMs), RAG, and Transformer architectures. Proficient in Python, ML techniques (supervised, unsupervised, reinforcement learning, NLP), and cloud platforms (Azure/AWS) including services like Databricks, AKS/EKS, and Cognitive Services. Hands-on expertise in containerization (Docker, Kubernetes), CI/CD pipelines (GitHub Actions), and LLM libraries (Hugging Face, OpenAI API).
Qualifications: BACHELOR OF ENGINEERING