- 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.

- Strong 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).

- Strong understanding of algorithms, data structures, and model evaluation techniques.

📌 Artificial Intelligence Lead (Coimbatore)
🏢 InFynd
📍 Coimbatore