AI/ML Engineer

About the Role We are seeking an experienced and passionate AI/ML Engineer with 5–8 years of expertise in Predictive ML, Generative AI, and Agentic AI. This role involves designing, developing, and deploying end-to-end AI solutions that address complex business challenges. You will collaborate with cross-functional teams, mentor junior engineers, and drive innovation in next-gen AI systems. Key Responsibilities Solution Engineering: Build AI/ML and GenAI-powered solutions tailored to customer needs. Model Development: Design, train, and deploy ML, deep learning, and LLM-based models. Research & Innovation: Stay up-to-date with cutting-edge AI/GenAI/Agentic AI advancements. Team Leadership: Mentor and guide junior engineers in AI solution development. Deployment & Scaling: Implement scalable, production-grade AI systems in cloud environments. Requirements Required Qualifications Bachelor’s/Master’s in CS, AI/ML, or Data Science. 5–8 years of experience in ML, DL, and LLMs. Proven expertise in Generative AI: prompt engineering, embeddings, vector databases (FAISS, Pinecone), and RAG pipelines. Hands-on with Python (NumPy, Pandas, Scikit-learn), PyTorch, TensorFlow, Hugging Face Transformers. Experience with Agentic AI frameworks (LangGraph, AutoGen, CrewAI, AgentForce). Cloud expertise in Azure, AWS, or GCP GenAI services. Strong SQL skills and experience building ETL/data pipelines. Demonstrated ability to deliver scalable, production-ready AI solutions. Excellent communication skills for both technical and business audiences.