Capgemini
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Chennai · Hybrid · 5-8 Yrs · 3 days ago
Enterprise Software & Network Solutions · 10000+ Employees · Paris, France
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. Capgemini in India comprises nearly 175,000 team members working across 13 locations: Bangalore, Bhubaneswar, Chennai, Coimbatore, Gandhinagar, Gurugram, Hyderabad, Kolkata, Mumbai, Noida, Pune, Salem and Tiruchirappalli. Get The Future You Want | Learn more about Capgemini in India at www.capgemini.com/in-en.
Hiring: Engineering
What employees say
+ Good company to begin your career as a fresher and retire as an experienced professional
− Not a good org in the middle band, as limited career growth opportunities and pay hike is minimal as compared to market standards
More reviews on the company profile.
Interview experience · Senior Consultant
I attended a walk in interview drive. The arrangement was good and the panel was knowledgeable. The questions were moderately difficult and there was two technical rounds, followed by a HR round.
Average difficulty · India · 17,487 reports
More interview insightsJob description
Overview
Machine Learning Engineering
Qualifications
- Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
- Must have experience with Machine Learning Model Development
- Expert Level Proficiency in Data Handling (SQL)
- Strong experience in Model Deployment and Productionlization
- Minimum 5+ years of overall experience .
- Strong hands-on experience in Machine Learning using at least one cloud platform: GCP, AWS, or Azure .
- Candidates without hands-on cloud experience should not be considered for the interview .
- GCP experience will be a significant advantage.
- We recognise the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance
- Our focus will be your career growth & professional development to support you in exploring the world of opportunities.
- Equip yourself with valuable certifications & training programmes in the latest technologies such as Machine Learning.
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Machine Learning Engineering at Capgemini?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Capgemini may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Machine Learning Engineering role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Machine Learning Engineering remote or on-site in Chennai, Tamil Nadu?
- This listing is marked hybrid with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Machine Learning Engineering role at Capgemini?
- Key skills for this role include Hybrid. Upload a resume to see which requirements you already meet and which are gaps.