ML Engineer — Tiger Analytics

About this ML Engineer role at Tiger Analytics

Tiger Analytics is actively hiring ML Engineers across India, with positions in Bengaluru, Chennai, and Hyderabad. As a mid-level Machine Learning Engineer, you'll work on production ML systems at a private AI-focused organization where deep learning and model development are core to the business. This is a direct-apply role — no exam, no waiting list — perfect for engineers with 2–5 years of ML experience ready to step up.

What you'll do

• Design, develop, and deploy machine learning models using Python and deep learning frameworks
• Work on model development and optimization for real-world applications
• Perform data analysis and feature engineering to improve model performance
• Collaborate with cross-functional teams to translate business problems into ML solutions
• Maintain and iterate on production ML systems based on performance metrics

Who should apply

You're a mid-level ML engineer with 2–5 years of hands-on experience in machine learning, Python development, and deep learning. You should have a solid foundation in data analysis and model development. This role doesn't require a specific domain background — Tiger Analytics values practical ML skills and the ability to learn quickly on the job.

Salary & offer in context

Tiger Analytics offers ₹12–30 LPA (₹1,00,000–₹2,50,000 per month), placing this firmly in the mid-level ML Engineer salary band in India. For context, mid-level AI engineer salaries in India typically range from ₹80K to ₹2.5L monthly depending on experience and specialization, so this offer is competitive for the Bengaluru tech market.

Path to apply

This is a direct online application — apply straight through Tiger Analytics' careers portal at tigeranalytics.com/careers. No coding test, no preliminary screening exam — just your resume, portfolio, and a conversation with the hiring team. The application deadline is June 7, 2026, so apply soon if you're interested.