AI Engineer_ MLOPs_ 3 To 5yrs

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

Job summary

Fractal is seeking an experienced MLOps Engineer to deploy and operate advanced analytics ML models across client projects. You will collaborate with data scientists and data engineers to build scalable ML pipelines and production-grade systems.

You’ll work with tools like MLFlow, Kubeflow, Docker and cloud platforms (AWS/Azure/GCP) to enable model tracking, automation and end-to-end lifecycle management. Join a fast-paced team delivering AI solutions for diverse industries.

Qualifications

• 3-5 years experience building production-quality software.
• Experience in System Integration, Application Development or DataWarehouse projects.
• Basic knowledge of MLOps, machine learning and Docker.
• Object-oriented languages (Python, PySpark, Java, C#, C++).
• Experience developing CI/CD components for production ready ML pipeline.
• Database programming using SQL.
• Knowledge of Git for Source code management.
• Ability to collaborate with highly technical resources in a fast-paced environment.
• Ability to solve complex challenges and rapidly deliver innovative solutions.
• Team handling, problem solving and project management.
• Foundational Knowledge of Cloud Computing (AWS, Azure or GCP).
• Hunger and passion for learning new skills.

Responsibilities

• Enable Model tracking, model experimentation, Model automation
• Develop scalable ML pipelines
• Develop MLOps components in ML development life cycle using Model Repository (MLFlow, Kubeflow Model Registry)
• Machine Learning Services (Kubeflow, DataRobot, HopsWorks, Dataiku or similar ML E2E PaaS/SaaS)
• Work across all phases of Model development life cycle to build MLOPS components
• Build the knowledge base 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.

Skills

Python

PySpark

Java

C#

C++

Cloud know-how

SQL

Git

Education

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

Tools

Docker

MLFlow

Kubeflow

Kubeflow Model Registry

CI/CD

Git

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:

• 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!