Engineering Lead Data Science & Machine Learning - L1
Description
Job Description
• Should have experience in using AI tools for better productivity.
• Advanced proficiency in Python, Scala, and/or SQL for data processing and application development.
• Should have very good experience in software development life cycle
• Must be able to design and develop CICD pipelines that can push the code to different development and prod environments preferably to Azure using git actions
• Must have 5 years of experience in Logging, Monitoring and Alerting systems.
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Implementation :
Collaborate with technical teams to validate configurations, facilitate integration of new applications, and address dependencies during deployment. Prepare user training documents and related frameworks to ensure smooth adoption new applications and minimize transition risks.
Maintain Documentation :
Ensure that all technical documents, flowcharts, layouts, and diagrams align with project objectives.
Collate and submit project specification, project progress, resource requirements and status reports for the review of Project Manager.
Stakeholder Collaboration :
Engage with project managers, client stakeholders, and technical team to gather and refine requirements and define technical expectations.
Work with internal and external stakeholders to gather feedback, align deliverables, evaluate software–hardware interactions, and define specifications to meet performance requirements.
Innovation :
Develop improved testing and programming practices using innovative methods to enhance automation and ensure the delivery of error free codes.