ML Ops

1 day ago

bangalore, India EXL Full time

Prior ~2+ years of experience working with ML Ops & DS

Responsibilities & Skills :

Deploy, monitor, and scale ML models on AWS (SageMaker, EKS, Lambda) or GCP (Vertex AI, GKE, Cloud Functions) .

Build and maintain CI/CD pipelines for ML workflows using GitHub Actions / Jenkins / cloud-native tools .

Containerize and orchestrate workloads with Docker & Kubernetes ; manage infra via Terraform/CloudFormation .

Implement model registries, feature stores, and observability using MLflow, Feast, Prometheus/Grafana .

Collaborate with data scientists to operationalize ML models for personalization, recommendations, NLP .

Proficient in Python , ML frameworks ( Scikit-learn, TensorFlow, PyTorch ) and data pipelines ( Airflow, Spark, SQL ).

Bonus: experience with real-time ML serving, A/B testing, or media/recommender systems .

Nice-to-Have:

Experience with subscription, media, or recommender systems .

Knowledge of experiment design & causal inference .

Exposure to real-time ML serving (KFServing, Seldon, Ray Serve).

Education:

Btech /Mtech

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