Senior Cloud ML Engineer

2 days ago


Gandhinagar, Gujarat, India beBeeMachineLearning Full time ₹ 15,00,000 - ₹ 20,00,000

We are seeking a seasoned Machine Learning Operations expert to spearhead the deployment, monitoring, and scaling of ML models on cloud platforms.

Key Responsibilities
  • Design and implement robust ML model deployment strategies across AWS or GCP
  • Develop and maintain Continuous Integration/Continuous Deployment pipelines for ML workflows using GitHub Actions or Jenkins
  • Ensure efficient containerization and orchestration of workloads with Docker and Kubernetes; manage infrastructure via Terraform or CloudFormation
  • Establish model registries, feature stores, and observability using MLflow, Feast, and Prometheus/Grafana
  • Collaborate with data scientists to operationalize ML models for personalization, recommendations, and NLP
  • Familiarity with 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
Requirements
  • Prior experience in ML Ops & Data Science
  • Strong proficiency in Python and ML frameworks
  • Expertise in containerization and orchestration
  • Knowledge of CI/CD pipelines and DevOps tools
  • Collaborative mindset and strong communication skills
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)


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