Senior Engineer_ MLOPs_ 5 to 10yrs

Fractal; Chennai District; On-site; INR 12,00,000 - 18,00,000; Full time

Job summary

A leading AI solutions provider is looking for an experienced MLOps Engineer in Chennai. You will collaborate with Data Scientists and Engineers to deploy machine learning models and build scalable MLOps components. Ideal candidates should have 5-10 years of experience in software production, strong knowledge of CI/CD processes, and proficiency in Python or similar languages. This position offers a dynamic work environment focused on innovative AI solutions.

Qualifications

• 5-10 years experience building production-quality software.
• Strong experience in System Integration, Application Development or DataWarehouse projects.
• Basic Knowledge of machine learning and docker.
• Object-oriented languages (Python, C#, Java).
• Experience developing CI/CD for ML pipelines.
• Ability to solve complex challenges quickly.
• Foundational Knowledge of Cloud Computing.

Responsibilities

• Work collaboratively with Data Scientists and Data Engineers.
• Deploy and operate advanced analytics machine learning models.
• Automate and streamline model development.
• Develop scalable ML pipelines.
• Build tools for deployment, monitoring, and operations.
• Troubleshoot and resolve issues in various environments.

Skills

System Integration

Application Development

Data Warehouse projects

MLOps

machine learning

docker

Python

CI/CD

SQL

Git

Education

B.E/B.Tech/M.Tech in Computer Science

Job description

Overview

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Job Location

Bangalore, Mumbai, Pune, Gurgaon, Chennai, Hyderabad, Coimbatore, Noida

Job Description

Building the machine learning production System(or MLOps) is the biggest challenge most large companies currently have in making the transition to becoming an AI-driven organization. This position is an opportunity for an experienced, server-side developer to build expertise in this exciting new frontier. You will be part of a team deploying state-of-the-art AI solutions for Fractal clients.

Responsibilities

• As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. You’ll help automate and streamline Model development and Model operations. You’ll build and maintain tools for deployment, monitoring, and operations. You’ll also troubleshoot and resolve issues in development, testing, and production environments.
• Enable Model tracking, model experimentation, Model automation
• Develop scalable ML pipelines
• Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry
• Machine Learning Services (either of): Kubeflow, DataRobot, HopsWorks, Dataiku or any relevant ML E2E PaaS/SaaS
• Work across all phases of Model development life cycle to build MLOPS components
• Build the knowledge base required to deliver increasingly complex MLOPS projects on the Cloud(AWS, Azure, GCP)/On Prem
• Be an integral part of client business development and delivery engagements across multiple domains.

Qualifications

REQUIRED QUALIFICATIONS:

• 5-10 years experience building production-quality software
• Strong experience in System Integration, Application Development or DataWarehouse projects across technologies used in the enterprise space
• Basic Knowledge of MLOps, machine learning and docker
• Object-oriented languages (e.g. Python, PySpark, Java, C#, C++ )
• Experience developing CI/CD components for production ready ML pipeline.
• Database programming using any flavors of SQL
• Knowledge of Git for Source code management
• Ability to collaborate effectively with highly technical resources in a fast-paced environment
• Ability to solve complex challenges/problems and rapidly deliver innovative solutions
• Team handling, problem solving, project management and communication skills & creative thinking
• Foundational Knowledge of Cloud Computing either one AWS, Azure or GCP
• Hunger and passion for learning new skills

Education

EDUCATION:

B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent.

If you like wild growth and working with happy, enthusiastic over-achievers, you\'ll enjoy your career with us!

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