AI Engineer_ MLOPs_ 3 to 5yrs

Fractal; Bengaluru; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

Fractal in Bengaluru is seeking an experienced MLOps Engineer to join a team deploying state-of-the-art AI solutions for clients. You will work with data scientists to productionize ML models and build scalable pipelines.

The role emphasizes deployment, monitoring, and operations across cloud (AWS/Azure/GCP) and on-prem, using MLFlow, Kubeflow, or similar tools.

Qualifications

• 3-5 years of production software experience.
• Experience in system integration or data warehouse projects.
• Basic knowledge of MLOps and Docker.
• Proficiency in Python, PySpark, or Java/C#.
• Experience CI/CD for ML pipelines.
• SQL database programming and Git.
• Cloud knowledge: AWS/Azure or GCP.
• Strong collaboration and communication.

Responsibilities

• Deploy and operate analytics ML models with data scientists.
• Automate model development and operations.
• Build and maintain deployment, monitoring, and ops tools.
• Troubleshoot in development, testing, and production.
• Enable model tracking, experimentation, and automation.
• Develop scalable ML pipelines.
• Work across all phases of model development life cycle.
• Support Cloud and on-prem deployments and client engagements.

Skills

Python

PySpark

Java

C#

C++

CI/CD for ML

Docker

SQL

Git

Cloud basics

MLOps concepts

Team collaboration

Education

CS degree

Tools

MLFlow

Kubeflow

DataRobot

HopsWorks

Dataiku

Model Registry

Job description

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:

• 3-5 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

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!