Machine Learning Engineer

Job Title: Machine Learning Engineer

Location: Hyderabad, India (Onsite – Night Shift, 9 AM to 5 PM EST)

Type: Full‑time

Experience: 2+ Years

About the Role

We’re building the future of the gig marketplace using cutting‑edge Machine Learning and AI technologies. As an early member of our ML Engineering team, you’ll have the opportunity to design, train, and deploy models that power intelligent systems across GenAI labeling, image/audio/video classification, and segmentation. You’ll also help develop LLM‑as‑a‑Judge frameworks for automated quality evaluation and train ranking models to recommend the right gigs to earners.

This is a hands‑on role where you’ll collaborate closely with product managers, program managers, and engineers to build scalable, high‑impact solutions that directly shape how our global platform works.

Key Responsibilities

• Design and develop scalable machine learning systems and pipelines.
• Build and optimize models for CV, NLP, and Generative AI applications.
• Collaborate with backend/frontend engineers to integrate models into production systems.
• Write clean, modular, and maintainable code with strong documentation.
• Review code, enforce best practices, and contribute to architectural decisions.
• Stay current with advancements in ML infrastructure, distributed training, and GenAI research.

Basic Qualifications

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Artificial Intelligence, or related field.
• Strong foundation in

  Computer Vision

  ,

  Natural Language Processing

  , or

  Deep Learning

  .
• Hands-on experience with modern ML frameworks (e.g. PyTorch, TensorFlow, Hugging Face).
• Proficiency in programming languages such as

  Go

  ,

  Java

  , or

  Python

  .
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities with a passion for continuous learning.

Preferred Qualifications

• 2+ years of industry experience in ML/AI model development and deployment.
• Experience training large-scale models on distributed infrastructure.
• Proven ability to prototype quickly and experiment with new ideas.
• Demonstrated success collaborating across cross-functional teams.

Why Join Us

• Opportunity to build impactful ML systems from the ground up.
• Work at the intersection of

  AI

  ,

  Generative Models

  , and

  Marketplace Innovation

  .
• Collaborative, fast-moving environment with real ownership and visibility.
• Global exposure and cutting-edge tech stack.