AI/ML Engineer

We are seeking an experienced and driven Senior AI/ML Engineer with 5-8 years of experience in AI/ML – Predictive ML, GenAI and Agentic AI. The ideal candidate should have a strong background in developing and deploying machine learning models, as well as a passion for innovation and problem-solving. As an AI/ML Solution Engineer, build AI/ML, Gen AI, Agentic AI empowered practical in-depth solutions for solving customer’s business problems. As an AI/ML Solution Engineer, design, develop, and deploy machine learning models and algorithms. Conduct research and stay up-to-date with the latest advancements in AI/ML, GenAI, and Agentic AI. Lead a team of junior AI engineers, providing direction and support. Requirements Bachelor’s or Master’s degree in computer science / AIML / Data Science. 5 to 8 years of overall experience and hands-on experience with the design and implementation of Machine Learning models, Deep Learning models, and LLM models for solving business problems. Proven experience working with Generative AI technologies, including prompt engineering, fine-tuning large language models (LLMs), embeddings, vector databases (e.g., FAISS, Pinecone), and Retrieval-Augmented Generation (RAG) systems. Expertise in Python (NumPy, Scikit-learn, Pandas), TensorFlow, PyTorch, transformers (e.g., Hugging Face), or MLlib. Experience in working on Agentic AI frameworks like Autogen, Langgraph, CrewAI, Agentforce etc Expertise in cloud-based data and AI solution design and implementation using GCP / AWS / Azure, including the use of their Gen AI services. Good experience in building complex and scalable ML and Gen AI solutions and deploying them into production environments. Experience with scripting in SQL, extracting large datasets, and designing ETL flows. Excellent problem-solving and analytical skills with the ability to translate business requirements into data science and Gen AI solutions. Effective communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.