F2F Walkin Drive - 14th Feb 2026
Location: Hyderabad

Accountabilities:
- Design, develop, train, and deploy production-grade ML and GenAI models across use cases including NLP, computer vision, and structured data modeling.
- Leverage frameworks such as TensorFlow, Keras, PyTorch, and LangChain to build scalable deep learning and LLM-based solutions.
- Develop and maintain end-to-end ML pipelines with reusable, modular components for data ingestion, feature engineering, model training, and deployment.
- Implement and manage models on cloud platforms such as AWS, GCP, or Azure using services like SageMaker, Vertex AI, or Azure ML.
- MLOps best practices using tools like MLflow, Kubeflow, Weights & Biases, Airflow, DVC, and Prefect to ensure scalable and reliable ML delivery.
- Incorporate CI/CD pipelines (using Jenkins, GitHub Actions, or similar) to automate testing, packaging, and deployment of ML workloads.
- Containerize applications using Docker and orchestrate scalable deployments via Kubernetes.
- Integrate LLMs with APIs and external systems using LangChain,



Vector Databases (e.g., FAISS, Pinecone), and prompt engineering best practices.
- Collaborate closely with data engineers to access, prepare, and transform large-scale structured and unstructured datasets for ML pipelines.
- Build monitoring and retraining workflows to ensure models remain performant and robust in production.
- Evaluate and integrate third-party GenAI APIs or foundational models where appropriate to accelerate delivery.
- Maintain rigorous experiment tracking, hyper parameter tuning, and model versioning.
- Champion industry standards and evolving practices in ML lifecycle management, cloud-native AI architectures, and responsible AI.
- Work across global, multi-functional teams, including architects, principal engineers, and domain experts.

Essential Skills / Experience:
- 2–10 years of hands-on experience in developing, training, and deploying ML/DL/GenAI models.
- Robust programming

📌 AI/ML Engineer (Chennai)
🏢 Agilisium
📍 Chennai