**Cloud Native Machine Learning Professional**

1 day ago

Nashik, Maharashtra, India beBeeData Full time ₹ 15,00,000 - ₹ 25,00,000
**Machine Learning Engineer (ML Ops & DS)**

With a strong background in Machine Learning Operations and Data Science, we are seeking an experienced professional to join our team as a Machine Learning Engineer.

The ideal candidate will have a proven track record of successfully deploying, monitoring, and scaling ML models on cloud platforms such as AWS (SageMaker, EKS, Lambda) or GCP (Vertex AI, GKE, Cloud Functions).

  • Deploy and monitor ML models using cloud-native tools and frameworks.
  • Build and maintain CI/CD pipelines for ML workflows using GitHub Actions, Jenkins, or cloud-native tools.
  • Containerize and orchestrate workloads with Docker and Kubernetes; manage infrastructure using Terraform or CloudFormation.
  • Implement model registries, feature stores, and observability using MLflow, Feast, Prometheus, or Grafana.

Collaborate with data scientists to operationalize ML models for personalization, recommendations, and NLP tasks. Proficient in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and data pipelines (Airflow, Spark, SQL). Bonus points for experience with real-time ML serving, A/B testing, or media/recommender systems.

  • Required Skills and Qualifications:
  • 3+ years of experience in ML Engineering and Data Science.
  • Strong proficiency in Python, ML frameworks, and data pipelines.
  • Experience with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
  • Knowledge of experiment design and causal inference.

Education: Btech / Mtech degree in Computer Science, Mathematics, or related field.

Nice-to-Have:

  • Experience with subscription, media, or recommender systems.
  • Exposure to real-time ML serving (KFServing, Seldon, Ray Serve).

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