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AI Model Lifecycle Manager

2 weeks ago

Nagpur, Maharashtra, India beBeeMachineLearningEngineer Full time ₹ 18,00,000 - ₹ 25,00,000

Pursuing a career in Machine Learning Engineering involves overseeing the life cycle of AI models. You will be responsible for deploying, monitoring, and scaling these models on cloud platforms like AWS or GCP.

Developing and maintaining Continuous Integration/Continuous Deployment (CI/CD) pipelines is crucial for streamlined ML workflows using tools like GitHub Actions or Jenkins.

You will containerize workloads with Docker and orchestrate them using Kubernetes while managing infrastructure via Terraform or CloudFormation.

Focusing on model management, you will use tools like MLflow to implement registries, feature stores, and observability.

Collaborate with data scientists to operationalize machine learning models for applications such as personalization, recommendations, and natural language processing.

Proficiency in Python programming along with popular ML frameworks (Scikit-learn, TensorFlow, PyTorch) and data pipeline tools (Airflow, Spark, SQL) is necessary.

Bonus skills include real-time machine learning serving, A/B testing, and experience with media or recommender systems.

Nice-to-Have:

Experience working with subscription-based services, media platforms, or recommender systems.

Understanding of experiment design and causal inference principles.

Familiarity with real-time machine learning serving platforms (KFServing, Seldon, Ray Serve).

Educational Background:

Bachelor's or Master's degree in a relevant field