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MLOps Engineer -ML Platforms
Zetwerk
·
3-8 years
Hyderabad / Secunderabad, Chennai, Bangalore / Bengaluru
1 vacancy
MLOps Engineer -ML Platforms
Zetwerk
posted 4d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Manage ML Platform infrastructure to automate and accelerate model development and deployment
- Define and build scalable ML pipelines that enables data scientists to build better models
- Build dashboards and other Monitoring tools to optimize performance and Infrastructure Costs
- Monitor and provide support to infrastructure and in production systems
- Identify possible issues and performance leakages in the system and perform optimization
- Mentoring team members through code review and knowledge sharing
- Lead, mentor, and manage a team of Mlops engineers, fostering a collaborative and high-performance environment.
- Oversee the team s project management, ensuring timely and successful delivery of data solutions.
- Design, develop, and maintain data science models and algorithms along with the DS team to drive business insights and decision-making onto the ML Platforms
- Implement and manage CI/CD pipelines of Core Solution Packages and Applications
- Containerize applications and workflows using Docker and App Service for consistent environments and deployment.
- Work closely with various teams, including data science, engineering, and business units, to align ML Platform Solution with client goals.
- Facilitate communication and collaboration between team members and other departments to ensure cohesive project execution.
- Provide technical support and insights to cross-functional teams as needed.
- Ensure ML systems comply with security standards and best practices in a cloud environment.
- Identify and address technical debt in current ML projects, incorporating best MLOps practices.
- 8 + years of hands-on experience at scale in data science / ML engineering
- Excellent hands on skills to write clean and structured SQL, Python and Shell programs
- Good experience with infrastructure, including Cloud Computing, Linux OS, Networks, Kubenetes, Docker, Infrastructure as Code, RDBMS and NoSQL Databases
- Good understanding of Machine learning concepts and MLops Best practices.
- Quality experience in serving real-time, production-level machine learning models
- Proven experience leading and Managing a team
- Excellent communication skills
- 5+ years hands-on experience with Azure Cloud Technologies such as Azure Databricks, Azure DevOps, Azure App Service, Docker, Azure Key Vault, and other managed Azure services.
- Proficient in AWS technologies, including Athena, Glue, ECS, EKS, and VPC, as well as AWS SageMaker for deploying machine learning models, improving automation, and implementing essential checks.
- Proficiency in Python for developing automation Scripts, and Pipelines
- Familiarity with Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation for managing cloud infrastructure.
- Basic Familiarity with the Data Science and Machine Learning lifecycle, as well as frameworks like scikit-learn, PyTorch, and TensorFlow.
Employment Type: Full Time, Permanent
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What people at Zetwerk are saying
Rating based on 5 Engineer
reviews
Anonymous · Production, Manufacturing & Engineering
in Noida
Salary and growth is best and working culture is also best.
- Salary - Excellent
Shift extension is bad thing
Engineer salary at Zetwerk
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