AI/ML engineer: Python, Pandas, NumPy

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About the Role:

We’re hiring talented and driven AI/ML Engineers for multiple high-growth organizations—ranging from funded startups to established MNCs. If you're passionate about solving complex problems using machine learning and AI technologies, and want to build impactful solutions at scale, we want to hear from you.

Key Responsibilities:

• Design, build, and deploy machine learning models for real-world business applications
• Work on problems across NLP, Computer Vision, Time Series, and/or Recommendation Systems
• Collaborate with data engineers, product managers, and business teams to translate business goals into ML solutions
• Optimize model performance and deployment pipelines (real-time or batch)
• Stay up to date with latest research and incorporate cutting-edge techniques as needed
• Write clean, modular, and well-documented code (preferably in Python)

Preferred Qualifications:

• 2–8 years of experience in applied machine learning or AI product development
• Strong knowledge of ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Proficient in Python and data processing libraries (Pandas, NumPy, etc.)
• Experience with end-to-end ML lifecycle: from data cleaning to model deployment
• Familiarity with cloud platforms (AWS/GCP/Azure) and ML Ops practices is a plus
• Experience with tools like Docker, Airflow, or FastAPI is a bonus
• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field

What’s on Offer:

• Exciting roles across leading tech companies and innovation-driven startups
• Competitive compensation packages including ESOPs (where applicable)
• Opportunities to work on real-world AI/ML problems with significant impact
• Flexible work environments with collaborative, high-growth teams