AI Engineer_ MLOPs_ 3 to 5yrs

Fractal Analytics; Gurugram District; On-site; INR 900,000 - 1,800,000; Full time

Job summary

Fractal Analytics in India is seeking an experienced MLOps Engineer to deploy machine learning models in production across client projects, collaborating with data scientists and data engineers. The role focuses on building scalable ML pipelines, model tracking, CI/CD, and cloud/on-prem deployments.

You will work with Kubeflow, MLFlow, and related tools, applying Python, PySpark, Docker, and cloud technologies to deliver reliable end-to-end ML services.

Qualifications

• 3-5 years of production-quality software experience.
• Experience in system integration, application development or datawarehousing.
• Basic knowledge of MLOps and Docker; proficiency in Python/PySpark/Java/C++.
• CI/CD for ML pipelines; SQL and Git fundamentals.
• Cloud knowledge (AWS/Azure/GCP) and strong collaboration skills.

Responsibilities

• Deploy and operate advanced analytics ML models.
• Build scalable ML pipelines and MLOps components.
• Collaborate with Data Scientists and Data Engineers to automate model development and operations.
• Develop tools for deployment, monitoring, and production support.
• Engage in client delivery across domains.

Skills

Python

PySpark

Java

C#

C++

Docker

CI/CD

SQL

Git

Cloud computing

Education

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

Tools

MLFlow

Kubeflow Model Registry

Kubeflow

DataRobot

HopsWorks

Dataiku

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!