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3 days ago
Role Overview:
Senior Machine Learning Engineer - Model Deployment & OrchestrationThis is an exciting opportunity to work on developing and deploying machine learning models on cloud platforms such as AWS (SageMaker, EKS, Lambda) or GCP (Vertex AI, GKE, Cloud Functions).
Key Responsibilities:- Design and implement continuous integration and deployment pipelines for ML workflows using GitHub Actions, Jenkins, or cloud-native tools.
- Develop containerization and orchestration solutions with Docker and Kubernetes; manage infrastructure via Terraform/CloudFormation.
- Maintain model registries, feature stores, and observability using MLflow, Feast, Prometheus/Grafana.
In this role, you will collaborate with data scientists to operationalize ML models for personalization, recommendations, NLP. Your proficiency in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and data pipelines (Airflow, Spark, SQL) will be a key asset.
Bonus Experience:- Real-time ML serving, A/B testing, or media/recommender systems experience.
- Experience with subscription, media, or recommender systems.
- Knowledge of experiment design & causal inference.
- Exposure to real-time ML serving (KFServing, Seldon, Ray Serve).
Please find below the required qualifications for the position:
- Btech / Mtech degree.
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