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Senior / Lead MLE - MLOps (DevOps)
Zetwerk
·
5-8 years
Hyderabad / Secunderabad, Chennai, Bangalore / Bengaluru
1 vacancy
Senior / Lead MLE - MLOps (DevOps)
Zetwerk
posted 1mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
MLOPS Lead-
Senior ML Engineer
As a Senior MLOps Engineer, the role requires hands-on experience in building and managing ML
Systems in Production with excellent MLOPS Skill sets. The position would be responsible for
building machine learning pipelines and ML Application services and providing machine learning
engineering support for Production teams .
This role operates at the crossroads of Machine Learning, Software/Data Engineering, and DevOps,
leveraging best practices from each domain to optimize the deployment and management of
machine learning models in production environments.
The Position would also be expected to be able to enhance the Technology stack, focusing on
continuous improvements in the reliability, automation and efficiency of the Platform Solutions.
Roles and responsibilities
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.
Preferred Experience
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.
You are important to us, let s stay connected!
Every individual comes with a different set of skills and qualities so even if you don t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow.
We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.
Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.
Additional Benefits: Health insurance (self family), virtual wellness platform, and knowledge communities.
Employment Type: Full Time, Permanent
Read full job descriptionPrepare for Devops roles with real interview advice
Top Zetwerk Devops Interview Questions
Q1. What are the differences between White box testing and Black box testing?
Q2. How do you write test cases for Login page and Payment gateway?
Q3. How do you automate filtering and validate it's been filtered as desired?
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Flexible timing
Monday to Saturday
Within country
Day Shift
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