Work with LLMs, NLP models, neural networks, and other advanced AI techniques.
Build scalable data pipelines and automate model training, validation, and deployment workflows.
Optimize model performance, latency, and accuracy using up-to-date techniques.
Work closely with cross-functional teams including Data Engineering, Product, and Software Engineering.
Perform exploratory data analysis, feature engineering, and experiment tracking.
Integrate AI models into applications using APIs, microservices, or cloud-based solutions.
Stay updated with the latest advancements in AI,

ML, and GenAI technologies.

Requirements
10+ years of hands-on experience in AI/ML engineering.
Robust proficiency in Python, ML libraries (NumPy, Pandas, Scikit-learn),



and DL frameworks (TensorFlow/PyTorch).
Experience with LLMs, NLP, transformers, embeddings, and prompt optimization.
Knowledge of MLOps tools like MLflow, Kubeflow, Airflow, or similar.
Experience in using cloud platforms (AWS / Azure / GCP) for AI model deployment.
Hands-on experience with vector databases, feature stores, or model registries (nice to have).
Familiarity with API development, microservices architecture, and containerization (Docker, Kubernetes).
Solid understanding of algorithms, data structures, and model evaluation techniques.

📌 Artificial Intelligence Lead Coimbatore
🏢 InFynd
📍 Coimbatore