Machine Learning Engineer

Card image cap
Machine Learning Engineer

Bangalore (Karnataka), Indore (MP) INR 7 - 10 LPA Experience : 2 - 5 YRS. Openings: 2


About Yugen

Founded in 2020 by ex-Silicon Valley, IIT Alumni with prior experience in Tech Consulting and Product Management, Yugen is an early-stage startup in the Data Science and Machine Learning Engineering space.

Simultaneous adoption of Algorithms, Engineering, and Responsible AI will shape the future, and Yugen’s vision is to be at the forefront of that trend. We currently have clientele in 4 countries across 3 continents and are working towards becoming India’s leading player in the AI consulting space over the next 5-7 years. 

  • Have you ever wondered what happened to those hundreds of excel sheets and presentations that you made?
  • Has it crossed your mind that in the grand scheme of things, the hundreds of lines of code in a Jupyter Notebook failed to drive meaningful change?
  • Do you want your work to take the shape of an inspiring story someday?

If the answer to these questions is “Hell yeah”, then we’d be delighted to speak with you. Yugen’s journey is going to be meaningful because we take change seriously, exciting because we detest mundanity, and memorable because “two roads diverged in the woods - and we’re choosing the one less taken!”

Min. Qualification:

  • 2+ years of hands-on experience in building Machine Learning pipelines
  • Hands-on experience in deploying Machine Learning models and creating Real-Time Inference pipelines
  • Strong Programming skills with proficiency in Python and ML Libraries
  • Hands-on experience in at least one of the following Cloud Computing Platforms (AWS, Azure, Google Cloud) mandatory 
  • Experience with large-scale distributed storage and database systems is a plus 
  • Good understanding of deep learning workflows and experience with either PyTorch or TensorFlow is a plus

Skills Required:

Python, Cloud Computing (AWS/Azure/GCP), DataBases, Distributed Computing, Model Deployments


We're looking for engineers who have hands-on experience in building scalable and high-performance systems. As an Engineer, you will work on client deliverables to design, implement, maintain, and improve end-to-end scalable ML infrastructure. Your key responsibilities will be to: 

  • Create pipelines for model development
  • Develop and test models in collaboration with Data Scientists
  • Deploy models to production environments
  • Set up Inference systems (APIs) that support sub-second latencies and can scale to millions of users

You will also get a chance to shape Yugen’s B2B ML products roadmap. We believe in propagating the adoption of Machine Learning by creating scalable systems. Yugen is and always will be at the intersection of Engineering, Machine Learning, and storytelling - and our product initiatives are a direct reflection of our vision.

Yugen is currently an early-stage startup with a fast-growing product pipeline. Over 9-15 months, you will also have the opportunity to hire and mentor engineers and work in collaboration with Product Managers.

Recommended Jobs

Card image cap
Data Science Intern - Analytics Vidhya - Gurgaon

Analytics Vidhya

Gurugram INR 1 - 2 LPA

What is the hiring process? Because, we got more than 1000 application, a simple process would not work anymore. So, there is a new format of selection: The first round will be technical skill assessment – and what could be more appropriate than our DataHack platform. This round would includ

See More
Card image cap
Intern- Data Analytics- Gurgaon (2-6 Months)

A Client of Analytics Vidhya

Gurugram INR 0 - 1 LPA

  The intern will be expected to work on the following Building a data pipe line of extracting data from multiple sources, and organize the data into a relational data warehouse. Build fact tables with measures and dimensions from granular data. Build Vizualizations  on Tableau. Sen

See More
Card image cap
Software Engineer – Machine Learning- Bangalore (3+ Years of Experience)

A Client of Analytics Vidhya

Bengaluru INR 3 - 10 LPA

Job Responsibilities:•Design & build machine learning algorithms to solve business problems using different techniques like clustering, recommendation, classification.•Develop statistical or machine-assisted approaches to problems at massive scale.•Build models to solve business problems such as

See More