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

For Employers

Add office photos

Engaged Employer

Innovaccer

Compare

3.5

based on 368 Reviews

1 Innovaccer Senior Data Scientist Job

Senior Data Scientist

InnovAccer

3.5

based on 368 Reviews

2-6 years

Noida

1 vacancy

Senior Data Scientist

Innovaccer

posted 2mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analytics Python SQL Healthcare Automation Testing Machine Learning

+ 4 more

Job Description

The technology that once promised to simplify patient care has brought more issues than anyone ever anticipated
At Innovaccer, we'defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions
Data is our bread and butter for innovation
We are seeking a highly skilled MLOps Engineer to join our dynamic team
The MLOps Engineer will be responsible for deploying, scaling and managing machine learning models in production environments
The ideal candidate will have a strong background in software engineering, data science, and DevOps practices

A Day in the Life

ML Deployment Tenets : Design and implement scalable, reliable, and efficient pipelines to deploy machine learning models including LLMs in production. Has understanding of MLOps concepts such as feature stores, model registries, batch and real time inferencing and monitoring as we'll as feedback design of ML systems.
Automation : Design and develop and maintain automation scripts and tools to streamline machine learning workflows, including data preprocessing, model training, and evaluation.
Monitoring : Designing monitoring solutions for observability of deployed ML models reliability in production environments.
Mentoring and Collaboration : Mentor the team to follow ML deployment best practices. Work closely with data scientists, software engineers, and IT teams to integrate machine learning models into existing systems and applications.
Continuous Integration/Continuous Deployment (CI/CD) : Build and manage CI/CD pipelines to ensure continuous delivery of machine learning models.
Optimization : Optimize the performance of machine learning models and infrastructure for scalability and efficiency.
Participate in the full SDLC process using agile methodology including discovery, inception, story and task creation, breakdown and estimation, iterative planning, development and unit testing, and release/deployment.
Work with the product teams and to understand their scale and consumption architecture and ensure the MLOps practices to design and build scalable backend solutions for them.

What You Need

6+ years experience with at least 4+ years of hands-on experience as an MLOps engineer - expertise in deployment of GenAI solutions in production setup is a plus.
Python expertise with deployment experience for classical and deep learning models. - Expertise with at least one MLOps frameworks Sagemaker, Databricks or equivalent.
Demonstrated expertise in deploying deep learning models in production environments at scale. Should be familiar with model hubs and no code platforms to integrate with such as hugging face and AWS bedrock.
Expertise in DevOps tools and best practices practices, including Docker, Kubernetes, Terraform, and version control systems like Git.
Demonstrated experience in validating scalable ML/Deep Learning deployments through performance testing frameworks and identifying bottlenecks. Experience handling variations and defining patterns between multiple cloud platforms such as AWS, Azure, or Google Cloud for deploying machine learning models.
Strong problem-solving skills and the ability to troubleshoot issues in complex systems.
Basic knowledge of data processing tools and techniques, including SQL and NoSQL databases, data pipelines, and ETL processes.
Excellent communication and collaboration skills to work effectively with cross-functional teams.

Here's What We Offer

Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days.
Parental Leave: Experience one of the industrys best parental leave policies to spend time with your new addition.
Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break? we've got you covered.
Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury.
Pet-Friendly Office*: Spend more time with your treasured friends, even when you're away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only
Creche Facility for children* : Say goodbye to worries and hello to a convenient and reliable creche facility that puts your childs we'll-being first. *India offices