
Senior Machine Learning Engineer
1 week ago
As a seasoned Machine Learning Engineer, you will be responsible for designing, developing, and deploying scalable machine learning models on cloud platforms such as AWS or GCP.
The ideal candidate will have prior experience working with ML Ops & DS, with a strong background in Python and popular ML frameworks like Scikit-learn, TensorFlow, and PyTorch.
A successful applicant will also possess expertise in data pipelines, containerization, and orchestration using Docker and Kubernetes, as well as proficiency in Terraform/CloudFormation for infrastructure management.
Additionally, the candidate should be familiar with model registries, feature stores, and observability tools such as MLflow, Feast, Prometheus/Grafana.
Collaboration with data scientists to operationalize ML models for personalization, recommendations, and NLP is also essential.
Bonus points for experience with real-time ML serving, A/B testing, or media/recommender systems.
Required Skills and Qualifications- Strong programming skills in Python
- Experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch)
- Proficiency in data pipelines (Airflow, Spark, SQL)
- Containerization and orchestration using Docker and Kubernetes
- Infrastructure management using Terraform/CloudFormation
- Knowledge of model registries, feature stores, and observability tools
This role offers the opportunity to work with cutting-edge technology, collaborate with talented professionals, and contribute to innovative projects.
OthersEducation: Btech/Mtech
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