
Cloud Native Machine Learning Expert
6 days ago
Our organization is currently seeking a seasoned Machine Learning Engineer to spearhead the deployment and scaling of our ML models on cloud platforms.
Key Responsibilities:- We are looking for someone with expertise in deploying, monitoring, and scaling machine learning models on cloud platforms like AWS or GCP.
- The ideal candidate will have experience in building and maintaining CI/CD pipelines for ML workflows using GitHub Actions or Jenkins.
- Responsibilities include containerizing and orchestrating workloads with Docker and Kubernetes, as well as managing infrastructure via Terraform or CloudFormation.
- Additionally, we require collaboration with data scientists to operationalize ML models for personalization, recommendations, and NLP applications.
- A strong proficiency in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and data pipelines (Airflow, Spark, SQL) is essential.
- Bonus points for experience with real-time ML serving, A/B testing, or media/recommender systems.
- Nice-to-Haves:
- Experience with subscription, media, or recommender systems.
- Knowledge of experiment design and causal inference.
- Exposure to real-time ML serving technologies such as KFServing or Seldon.
- A Btech/Mtech degree from a reputable institution is required.
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Advanced Machine Learning Engineer
2 weeks ago
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