F2F Walkin Drive - . Location: Hyderabad.

Responsibilities

- 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, 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.
- Apply 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, hyperparameter 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 and Experience
- 210 years of hands-on experience in developing, training, and deploying MLDLGenAI models.
- Solid programming expertise in Python with proficiency in machine learning, data manipulation, and scripting.
- Demonstrated experience working with Generative AI models and Large Language Models (LLMs) such as GPT, LLaMA, Claude, or similar.
- Hands-on experience with deep learning frameworks such as TensorFlow and PyTorch.

📌 AI/ML Engineer (Tamil Nadu)
🏢 Agilisium
📍 Tamil Nadu