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
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 1K+ 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

Employer? Claim Account for FREE

Emmess Services

Compare

No reviews yet

15 Emmess Services Jobs

Senior AI Data Engineer

Emmes

3-8 years

Bangalore / Bengaluru

1 vacancy

Emmess Services

posted 4mon ago

Job Role Insights

Key skills for the job

Medical Coding Python SQL Clinical Research Automation Testing Public Health

+ 4 more

Job Description

Data for AI: Design and implement data pipelines specifically tailored for AI training and model development
Partner with AI data scientists and engineers to understand their data needs and ensure efficient data access
Implement data pre-processing and feature engineering techniques for optimal model performance
AWS expertise: Design,develop, and maintain data infrastructure on the AWS cloud platform, leveraging services like S3,Redshift, Glue, Lambda, and Kinesis
Build and maintain data lakes and warehouses optimized for AI workloads
Implement automated data transformations,cleansing, and validation processes to ensure data quality
Coding proficiency: Write code using Python,SQL, and other relevant programming languages, with a focus on libraries and frameworks commonly used in AI (eg, TensorFlow, PyTorch)
Automation and monitoring: Automate data pipelines using CI/CD tools and related techniques
Monitor and troubleshoot data pipelines for performance, reliability,and data quality issues
Overview The Emmes Company, LLC ( Emmes ) is a global, full-service Clinical Research Organization dedicated to excellence in supporting the advancement of public health and biopharmaceutical innovation
We believe in the power of truth, so much so that we named our company Emmes, which means truth
Through decades of experience we have learned that collaborative relationships thrive and human health benefits when truth is our compass
Our Character Achieves Results culture is driven by five key values that guide our actions in the way we conduct research and distinguish us as an organization: Integrity, Agility, Passion for Excellence, Collaborative Partnerships and Intellectual Curiosity
We are a trusted partner to clients who share our passion for improving public health in a world of ever-changing scientific research
If you share our motivations and passion in research, come join us! You will be joining a collaborative culture that empowers every Emmes employee from entry level through top executive to contribute to our clients success by sharing ideas openly and honestly
Primary Purpose Building and maintaining our data infrastructure on the AWS cloud platform, with a specific focus on supporting AI model training, development, and deployment
This includes designing, developing, and implementing data pipelines, ensuring the secure and efficient flow of data for our AI models
Responsibilities Data for AI: Design and implement data pipelines specifically tailored for AI training and model development
Partner with AI data scientists and engineers to understand their data needs and ensure efficient data access
Implement data pre-processing and feature engineering techniques for optimal model performance
AWS expertise: Design,develop, and maintain data infrastructure on the AWS cloud platform, leveraging services like S3,Redshift, Glue, Lambda, and Kinesis
Build and maintain data lakes and warehouses optimized for AI workloads
Implement automated data transformations,cleansing, and validation processes to ensure data quality
Coding proficiency: Write code using Python,SQL, and other relevant programming languages, with a focus on libraries and frameworks commonly used in AI (eg, TensorFlow, PyTorch)
Automation and monitoring: Automate data pipelines using CI/CD tools and related techniques
Monitor and troubleshoot data pipelines for performance, reliability,and data quality issues
Qualifications 3 to 8 years of experience as a Data Engineer or similar role,with a demonstrated experience in supporting data pipelines for AI applications and their data requirements
Proven experience with AWS services,including S3, Redshift, Glue, Lambda, and Kinesis
Strong experience with Python and SQL
Strong understanding of AI libraries and frameworks
Experience with data warehousing and data modeling concepts
Excellent problem-solving and analytical skills
Ability to work independently and as part of a collaborative team
Strong communication and collaboration skills