Senior AI Engineer_ MLOPs_ 5 To 10yrs

Fractal; Gurugram District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Fractal is seeking an experienced MLOps Engineer to join its AI deployment team in a multi-city setting. The role focuses on taking production ML systems from development to reliable operations, with emphasis on automation and scalable pipelines.

You will collaborate with data scientists and data engineers to deploy models on cloud platforms and on-prem environments, build MLOps components, and ensure end-to-end reliability of AI services across client projects.

Qualifications

• 5–10 years of experience building production-quality software.
• Experience in system integration, application development, or data warehouse projects.
• Basic knowledge of MLOps, machine learning, and Docker.

Responsibilities

• Collaborate with data scientists and data engineers to deploy and operate ML models.
• Automate model development and model operations pipelines.
• Build and maintain deployment, monitoring, and operations tools.
• Troubleshoot issues across development, testing, and production environments.
• Work across all phases of the ML lifecycle to deliver MLOps components.

Skills

Python

PySpark

Java

C#

C++

Docker

CI/CD

Git

Cloud computing

SQL

Education

B.E./B.Tech./M.Tech in CS or related

Tools

MLFlow

Kubeflow

Model Registry

DataRobot

Dataiku

HopsWorks

Job description

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:

• 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:

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!