Cloud-Native Machine Learning Engineer

3 days ago


Guntur, Andhra Pradesh, India beBeeMachineLearningEngineer Full time ₹ 1,80,00,000 - ₹ 2,40,00,000

Operationalizing Machine Learning is crucial to a business's success. To achieve this, we're seeking an experienced ML Ops Engineer who can deploy, monitor and scale ML models on cloud platforms such as AWS or GCP.

Responsibilities:
  • Develop, maintain and improve CI/CD pipelines for machine learning workflows using GitHub Actions or Jenkins.
  • Containerize and orchestrate workloads with Docker and Kubernetes; manage infrastructure via Terraform or CloudFormation.
  • Implement model registries, feature stores and observability using MLflow, Feast and Prometheus/Grafana.
  • Collaborate with data scientists to operationalize machine learning models for personalization, recommendations and NLP.
Skills:
  • Proficient in Python, ML frameworks such as Scikit-learn, TensorFlow and PyTorch and data pipelines like Airflow, Spark and 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 and causal inference.
  • Exposure to real-time ML serving (KFServing, Seldon, Ray Serve).

Education: Bachelor's or Master's degree in Computer Science or related field.



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