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 col...
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