
Machine Learning Engineer
22 hours ago
Machine Learning Engineer Role
In this position, you will be responsible for deploying and managing machine learning models on cloud platforms. You will have gained experience in this field and are proficient in Python, ML frameworks, and data pipelines.
Key Responsibilities:- Model Deployment: Deploy ML models on cloud platforms like AWS or GCP.
- Pipeline Management: Build and maintain CI/CD pipelines using GitHub Actions, Jenkins, or cloud-native tools.
- Containerization and Orchestration: Containerize and orchestrate workloads with Docker and Kubernetes.
- Observability and Model Registry: Implement model registries, feature stores, and observability using MLflow, Feast, Prometheus/Grafana.
- Collaboration with Data Scientists: Collaborate with data scientists to operationalize ML models for personalization, recommendations, NLP.
Required Skills and Qualifications
Proficiency in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and data pipelines (Airflow, Spark, SQL) is required. Experience with real-time ML serving, A/B testing, or media/recommender systems is a bonus. Knowledge of experiment design & causal inference and real-time ML serving (KFServing, Seldon, Ray Serve) is desirable.
Education
A Btech/Mtech degree is preferred.
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