- Support model development, following industry best practices on auditability, versioning, and data security.
- Facilitate development and deployment of proofofconcept machine learning solutions.
- Collaborate with Data Scientists to take offline machine learning model solutions and deploy them into production systems.
- Very good handson experience in deploying endtoend ML solutions as an ML DevOps Engineer or Data Engineer.
- Manage stakeholders and drive timely execution of projects using agile methodologies.
- Build reliable and scalable solutions in a fastpaced work environment.
- Knowledge sharing with other team members on technical skills and best practices.
- University degree in Computer Sciences or a similar field of studies.
- At least 3+ years of relevant experience in deploying ML solutions into production systems.
- Exposure to machine learning frameworks and best practices.
- Deep knowledge in Python, T SQL, database systems.
- Ability to translate business needs into technical requirements.
- Familiarity with dataoriented workflow orchestration frameworks such as AirFlow, KubeFlow, etc.
- Very high data affinity and strong analytical skills
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MLOps Engineer - Bengaluru, India - Winfort
Description
Job Description :
The role will be responsible for Work with multiple stakeholders and departments to Design and maintain engineering infrastructure to support enterprise machine learning systems in Azure cloud
Key Objectives :
Eligibility Criteria and Functional Competencies Required :