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2 weeks ago
We are seeking a seasoned Machine Learning Engineer to join our team.
Responsibilities:
- Design, deploy, and scale machine learning models on cloud platforms (AWS or GCP).
- Build and maintain continuous integration/continuous deployment (CI/CD) pipelines for ML workflows using GitHub Actions/Jenkins/cloud-native tools.
- Containerize and orchestrate workloads with Docker/Kubernetes, manage infrastructure via Terraform/CloudFormation.
- Implement model registries, feature stores, and observability using MLflow, Feast, Prometheus/Grafana.
- Collaborate with data scientists to operationalize machine learning models for personalization, recommendations, NLP.
- Proficient in Python, machine learning frameworks (Scikit-learn, TensorFlow, PyTorch), and data pipelines (Airflow, Spark, SQL).
- Bonus: experience with real-time machine learning serving, A/B testing, or media/recommender systems.
Nice to have:
- Experience with subscription, media, or recommender systems.
- Knowledge of experiment design & causal inference.
- Exposure to real-time machine learning serving (KFServing, Seldon, Ray Serve).
Education:
- Btech / Mtech
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