ML Platform Engineer
ML Platform Engineer
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INR INR 3000000 - 4500000
1 Vacancy
Job Description
- Evaluate and select appropriate cloud services for each stage of the ML lifecycle.
- Design and implement the overall architecture of the MLOps platform.
- Set up automated pipelines for data preparation model training and deployment.
- Implement version control for code data and models to maintain reproducibility and traceability.
- Ensure the platform is scalable secure and compliant with relevant regulations.
- Provide tools and interfaces for data scientists to easily leverage the platform.
- Continuously optimize the platform for performance and costefficiency.
- Develop tools and interfaces for data scientists to easily utilize the platforms capabilities.
- Bridge the gap between data science and operations enabling efficient development deployment and maintenance of ML models at scale.
- Bachelor s/Master s degree in Engineering Computer Science or equivalent experience.
- At least 10 years of professional experience in building cloudbased applications including ML platforms.
- Extensive expertise in cloud platforms like AWS Google Cloud Platform or Azure (Azure preferred).
- Proficiency in DevOps practices including CI/CD pipelines containerization (Docker Kubernetes) and infrastructure as code.
- Strong understanding of ML workflows model training deployment processes and data engineering pipelines.
- Advanced programming skills particularly in Python with a focus on ML applications.
- Experience in designing secure scalable systems that adhere to regulatory compliance.
- Demonstrated ability to collaborate with crossfunctional teams including data scientists and software engineers.
gcp,models,machine learning,infrastructure as code,aws,containerization (docker, kubernetes),google cloud platform,cd,ci/cd pipelines,deployment planning,ml,devops,python,cloud,containerization,scientists,ci,cloud platforms,cloud platforms (aws, google cloud platform, azure),platforms,azure
Employment Type
Full Time
Company Industry
Key Skills
- ASP.NET
- Health Education
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- Investigation
