Ml Engineer
- Mobile Programming
- 5 - 10 years
- Noida, Gurugram
- 5 days ago
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Job Description
Work Model: Hybrid (One in a week to office)
Locations: Chennai, Bengaluru, Gurgaon, Pune
Job Purpose:
Analyzing, designing, developing, and managing the infrastructure to release scalable Data
Science models.
The ML Engineer is expected to deploy, monitor and operate production grade AI systems in a
scalable, automated, and repeatable way.
Job Responsibilities
- Create and maintain a scalable infrastructure to deliver AI/ML processes, responding to the user requests in near real time.
- Design and implement the pipelines for training and deployment of ML models.
- Design dashboards to monitor a system.
- Collect metrics and create alerts based on them.
- Design and execute performance tests.
- Perform feasibility studies/analysis with a critical point of view.
- Support and maintain (troubleshoot issues with data and applications).
- Develop technical documentation for applications, including diagrams and manuals.
- Working on many different software challenges always ensuring a combination of simplicity and maintainability within the code.
- Contribute to architectural designs of large complexity and size, potentially involving several distinct software components.
- Mentoring other engineers fostering good engineering practices across the department. Working closely with data scientists and a variety of end-users (across diverse cultures)
to ensure technical compatibility and user satisfaction.
- Work as a member of a team, encouraging team building, motivation and cultivating effective team relations.
Role Requirements E=essential, P=preferred
P - Bachelor's degree in Computer Science or related field
P - Masters degree in data engineering or related
E - Demonstrated experience and knowledge in Linux and Docker containers
E - Demonstrated experience and knowledge in some of the main cloud providers (Azure, GCP
or AWS)
P - Demonstrated experience and knowledge in distributed systems
E - Proficient in programming languages: Python
E Experience with ML/Ops technologies like Azure ML
E Self driving and good communication skills
P Experience with AI/ML frameworks: Torch, Onnx, Tensorflow
E - Experience designing and implementing CICD pipelines for automation.
P - Experience designing monitoring dashboards (Grafana or similar)
P - Experience with container orchestrators (Kubernetes, Docker Swarm.
E - Experience in using collaborative developing tools such as Git, Confluence, Jira, etc.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: Mobile ProgrammingLocation(s): Noida, Gurugram
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