ZeMoSo Technologies
AI

Machine Learning Engineer

ZeMoSo Technologies · Hybrid - Hyderabad, Pune, India

Actively hiring Posted 5 months ago

**About us:

Zemoso Technologies is a Software Product Market Fit Studio that brings silicon valley style rapid prototyping and rapid application builds to Entrepreneurs and Corporate innovation. We offer Innovation as a service and work on ideas from scratch and take it to the Product Market Fit stage using Design Thinking->Lean Execution->Agile Methodology.

We were featured as one of Deloitte Fastest 50 growing tech companies from India thrice (2016, 2018 and 2019). We were also featured in Deloitte Technology Fast 500 Asia Pacific both in 2016 and 2018.

We are located in Hyderabad, India, and Dallas, US. We have recently incorporated another office in Waterloo, Canada.

Our founders have had past successes - founded a decision management company acquired by SAP AG (now part of Hana Big data stack & NetWeaver BPM), early engineering team of Zoho (leading billion $ SaaS player) & some Private Equity experience.

Marquee customers along with some exciting start-ups are part of our clientele.

What You will do:**

  • Play the role of Data Analyst / ML Engineer
  • Collection, cleanup, exploration and visualization of data
  • Perform statistical analysis on data and build ML models
  • Implement ML models using some of the popular ML algorithms
  • Use Excel to perform analytics on large amounts of data
  • Understand, model and build to bring actionable business intelligence out of data that is available in different formats
  • **Work with data engineers to design, build, test and monitor data pipelines for ongoing business operations

Basic Qualifications**

  • Experience: 4+ years.
  • Hands-on development experience playing the role of Data Analyst and/or ML Engineer.
  • Experience in working with excel for data analytics
  • Experience with statistical modelling of large data sets
  • Experience with ML models and ML algorithms
  • **Coding experience in Python

Nice to have Qualifications**

  • Experience with wide variety of tools used in ML
  • **Experience with Deep learning

Benefits**

  • Competitive salary.
  • Hybrid work model.
  • Learning and gaining experience rapidly.
  • Reimbursement for basic working set up at home.
  • **Insurance (including a top up insurance for COVID).

Location

Chennai / Mumbai / Pune / Hyderabad / Bangalore Hybrid.Role & responsibilities

Preferred candidate profile

Tags & focus areas

Used for matching and alerts on DevFound
Machine Learning Pytorch ML Pipelines ML Pipeline Machine Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.