AI Engineer — Fractal

About this AI Engineer role at Fractal Analytics

Fractal Analytics, a leading global AI and analytics company, is hiring AI Engineers for their Bangalore office. This is a mid-level permanent role perfect for engineers with 2–5 years of AI and machine learning experience who want to work on production-scale AI systems at a private MNC. You'll join a team solving real-world AI challenges for enterprise clients across industries.

What you'll do

• Design, develop, and deploy machine learning models and AI solutions for enterprise applications
• Work with Python, deep learning frameworks, and modern ML tools to build scalable systems
• Collaborate with cross-functional teams to translate business problems into AI-driven solutions
• Optimize model performance, oversee data pipelines, and ensure production reliability
• Stay current with AI advancements and contribute to the technical direction of projects

Who should apply

You're a mid-level AI engineer with 2–5 years of professional experience in machine learning or AI. You have solid Python skills, understand deep learning concepts, and can work independently. You don't need experience in Fractal's specific domain—strong fundamentals in AI and ML are what matters. If you're based in Bangalore or willing to relocate for an on-site role, you're a fit.

Salary & offer in context

This role offers ₹15–35 LPA (approximately ₹1,25,000–₹2,91,667 per month), a solid mid-level AI Engineer salary in India for someone with your experience. For context, mid-level AI Engineer salaries in Bangalore typically range from ₹12–30 LPA, so Fractal's offer sits competitively in that band and reflects the demand for experienced AI talent in India's private tech sector.

Path to apply

This is a direct online application—no entrance exam required. Head to Fractal's careers portal at fractal.ai/careers, search for the AI Engineer opening in Bangalore, and submit your resume and cover letter. The application deadline is 8 June 2026, so apply soon. Fractal typically moves through screening, technical interviews, and final rounds within 2–4 weeks.