Systems Engineer — AI/ML Track

About this ML Engineer role at Infosys

Infosys is hiring 2026 graduates straight into their Systems Engineer (AI/ML Specialization) track—a permanent role designed to launch your career in machine learning at India's largest IT services company. Based in Bangalore and other major Indian cities, this is a direct-entry opportunity for freshers with no prior AI/ML experience required, just aptitude and willingness to learn during their 4-month onboarding program.

What you'll do

• Build and train machine learning models using Python during your structured onboarding phase
• Work with deep learning frameworks and libraries to solve real client problems
• Contribute to AI/ML projects within Infosys's growing AI practice serving enterprise clients
• Learn modern ML workflows and best practices through mentored project work
• Participate in knowledge-transfer sessions to bridge from foundational training to production systems

Who should apply

You're a 2026 graduate from any B.Tech branch with a CGPA of 6.5 or above. This role is explicitly designed for freshers—no prior ML experience needed. You'll need solid programming aptitude (they assess this via InfyTQ), familiarity with Python syntax, and genuine openness to intensive AI/ML training. If you're graduating this year and eager to specialize in AI rather than generic IT services, this track is for you.

Salary & offer in context

Infosys offers ₹3.6–6.5 LPA (₹30,000–₹54,167 per month) for this role. For a fresher ML Engineer in India, this is a solid entry-level salary—competitive with other major IT services companies and notably higher than many non-tech sectors. AI engineer salary in India typically ranges ₹2.5–8 LPA for freshers, so Infosys sits in the upper half of that spectrum.

Path to apply

This is a direct online application through Infosys's careers portal—no entrance exam required, just a straightforward process. You'll take the InfyTQ assessment (Infosys's screening test for programming aptitude) followed by interviews if you clear. The deadline is June 30, 2026, so if you're a 2026 graduate, apply soon to secure your spot in the AI/ML cohort.