Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
- Gratuity calculator
  
  Check your gratuity amount
- HRA calculator
  
  Check how much of your HRA is tax-free
- Salary hike calculator
  
  Check your salary hike
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 2K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

WINNERS AWAITED!
- ABECA 2025
  
  WINNERS AWAITED!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

Add office photos

Employer? Claim Account for FREE

Fractal Analytics

Compare

4.0

based on 777 Reviews

Video summary

53 Fractal Analytics Jobs

Senior Engineer/ Engineer_ MLOPs_ 3 To 9yrs

Fractal Analytics Ltd

4.0

based on 777 Reviews

3-12 years

Mumbai, Pune, Chennai + 2 more

1 vacancy

Senior Engineer/ Engineer_ MLOPs_ 3 To 9yrs

Fractal Analytics

posted 6d ago

Job Role Insights

Flexible timing

Key skills for the job

Python SQL Cloud Computing Automation Testing Project Management C++

+ 4 more

Job Description

Data Engineer
Bangalore, Mumbai, Pune, Gurgaon, Chennai

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:

3-12 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

Recommended (not mandatory): completion of Fractal Data Science Professional Certificate" with this - https: / / www.coursera.org / professional-certificates / fractal-data-science

EDUCATION:

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

Employment Type: Full Time, Permanent

Read full job description

Fractal Analytics Interview Questions & Tips

Prepare for Fractal Analytics Senior Engineer roles with real interview advice

What people at Fractal Analytics are saying

4.2

Rating based on 22 Senior Engineer reviews

Anonymous · Engineering - Software & QA in Bangalore / Bengaluru

Likes

Good flexibility. Again that depends on the project assigned. Free meals, breakfast, lunch and snacks. Projects are mostly AIML based. New learning based on projects. No micro management. Internet and mobile bill reimbursement. Most importantly leadership team is very open and transparant culture. Srikant is amazing person to lead the company.

Salary - Excellent

+6 more

Dislikes

Most projects are unorganised. Pyhont and React based mostly. For ful-stack, not much java or node based projects. Limited access to learning platforms like coursera. No udemy or others.

Read 22 Senior Engineer reviews