Ml ops

4 weeks ago


India EXL Full time

Prior ~2+ years of experience working with ML Ops & DS Responsibilities & Skills : Deploy, monitor, and scale ML models on AWS (Sage Maker, EKS, Lambda) or GCP (Vertex AI, GKE, Cloud Functions). Build and maintain CI/CD pipelines for ML workflows using Git Hub Actions / Jenkins / cloud-native tools . Containerize and orchestrate workloads with Docker & Kubernetes ; manage infra via Terraform/Cloud Formation . 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, Tensor Flow, Py Torch ) 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


  • ML Ops

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  • india TransPerfect Full time

    Salary: Competitive / Paid in Indian Rupee . INR / Annual Recommended Quick Links Jobs by Location Jobs by Industry What You Should Know About This Job DevOps & ML Ops Engineer would be responsible for developing and maintaining scalable, stable services that deliver machine learning models to end users with...

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