ML Ops Engineer

Posted 7 Hours Ago
Be an Early Applicant
Chennai, Tamil Nadu
Senior level
Software • Consulting
The Role
The ML Ops Engineer will design data pipelines and engineering infrastructure for enterprise machine learning systems, develop scalable tools for training and inference, support model development, and communicate with clients to track project progress.
Summary Generated by Built In

ML Ops Engineer


Important Information

Location: Chennai

Experience: 6+ years

Job Mode: Full-time

Work Mode: Hybrid 

                                                                                                                                                 

Job Summary

 

Design the data pipelines and engineering infrastructure to support our clients’ enterprise machine learning systems at scale

 

Responsibilities and Duties

 

  • 5+ years of experience in the Machine Learning Operations / Dev Ops role
  • Python, Kubeflow, Github Actions, Kubernetes, Docker
  • Poetry for package management
  • Black, ruff, isort, flake8 for code cleanup
  • Design the data pipelines and engineering infrastructure to support our clients’ enterprise machine learning systems at scale
  • Take offline models data scientists build and turn them into a real machine learning production system
  • Develop and deploy scalable tools and services for our clients to handle machine learning training and inference
  • Identify and evaluate new technologies to improve performance, maintainability, and reliability of our clients’ machine learning systems
  • Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
  • Support model development, with an emphasis on auditability, versioning, and data security
  • Facilitate the development and deployment of proof-of-concept machine learning systems
  • Communicate with clients to build requirements and track progress
  • Strong analytic skills related to working with structured, semi structured and unstructured datasets

 

Qualifications and Skills

 

ML Operations, CI/CD, Python, Kubeflow


 

About Encora


Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. 


At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Top Skills

Python
The Company
Chennai
7,456 Employees
Hybrid Workplace
Year Founded: 1980

What We Do

Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries.
With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology

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