· Experience in Gen AI, CI/CD pipelines, scripting languages, and a deep understanding of version control systems(e.g. Git), containerization (e.g. Docker), and continuous integration/deployment tools (e.g.

Jenkins) third party integration is a plus, cloud computing platforms (e.g. AWS, GCP, Azure), Kubernetes and Kafka. · Experience building production-grade ML pipelines. · Proficient in Python and frameworks like Tensorflow, Keras, or PyTorch. · Experience with cloud build, deployment, and orchestration tools · Experience with MLOps tools such as MLFlow, Kubeflow, Weights & Biases, AWS Sagemaker, Vertex AI, DVC, Airflow, Prefect, etc., · Experience in statistical modeling, machine learning, data mining, and unstructured data analytics. · Understanding of ML Lifecycle, MLOps & Hands on experience to Productionize the ML Model · Detail-oriented, with the ability to work both independently and collaboratively. · Ability to work successfully with multi-functional teams, principals, and architects, across organizational boundaries and geographies. · Equal comfort driving low-level technical implementation and high-level architecture evolution · Experience working with data engineering pipelines

📌 AI ML Engineer (Chennai)
🏢 Leontra Technologies
📍 Chennai