Machine Learning Engineer Ml / Dl / Genai Nagercoil

Role Overview

As a Mid-level ML Engineer, you will be a key driver in designing, developing, and deploying production-grade AI systems. You will work on traditional predictive models (ML), Deep Learning architectures (DL), and Generative AI solutions integrated into enterprise applications. This role requires a Full-Stack ML mindset—spanning from data engineering and model training to API development, model deployment, and GenAI orchestration.

Required Technical Skills Machine Learning & Deep Learning (The Foundation) Robust proficiency in Python and its ecosystem (Pandas, NumPy, SciPy). Deep expertise in PyTorch or TensorFlow/Keras. Experience with classical ML algorithms and Deep Learning architectures including CNNs, RNNs, and Transformers. Generative AI (The Trend) Hands-on experience with LLM APIs and open-weight/open-source models. Advanced Prompt Engineering techniques including Chain-of-Thought, ReAct, and Few-shot prompting. Knowledge of Vector Stores and hybrid search techniques (Keyword + Semantic Search). Engineering & Ops (The Scale) Experience with MLOps concepts, model lifecycle management, and production monitoring. Proficiency in SQL and distributed data processing frameworks. Familiarity with cloud platforms such as AWS, Azure, or GCP. Experience building and consuming REST APIs for ML services. Apply on Kit Job: kitjob.in/job/4m80sc