Infosys
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Bengaluru · On-site · 5-8 Yrs · Sep 29
Information Technology Support Services · 10000+ Employees · Bengaluru, India
Infosys is a global leader in next-generation digital services and consulting. Over 300,000 of our people work to amplify human potential and create the next opportunity for people, businesses and communities. We enable clients in more than 56 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace. Visit www.infosys.com to see how Infosys (NSE, BSE, NYSE: INFY) can help your enterprise navigate your next. Visit www.infosys.com to see how Infosys (NYSE: INFY) can help your enterprise navigate your next.
Hiring: Engineering
What employees say
+ they are asking to do 1 question out of 2 by making the candidates login in their wingspan , mostly focused on asking dp , sliding , kadane
− Difficulty level varies progressively , but overall it is a medium to hard interview
More reviews on the company profile.
Interview experience · Dse
DSA , SQL, OOPS and DBMS was aksed but the questions was of easy to medium level, I performed very bad, so I got rejected but my friends who performed average got selected.
Average difficulty · India · 18,428 reports
More interview insightsJob description
Overview
Key Responsibilities:
Responsibilities
- Lead end-to-end AI/ML engagements: discovery, solution design, development, validation, and rollout.
- Partner with business and technical stakeholders to define use cases, success metrics, and implementation roadmaps.
- Design and build machine learning models aligned to business objectives, ensuring robust evaluation and performance tracking.
- Drive NLP solution development (e.g., text classification, entity extraction, search/relevance) based on problem needs.
- Establish best practices for data preparation, feature engineering, model selection, and experimentation workflows.
- Review model results and communicate insights, trade-offs, and recommendations to both technical and non-technical audiences.
- Collaborate with engineering teams to support model operationalization, monitoring, and continuous improvement.
- Mentor junior team members, conduct technical reviews, and contribute to reusable assets and accelerators. Minimum Qualifications:
- Bachelor's degree (or equivalent) in Engineering/Technology/Computer Science or related field (e.g., BE/BTech/BSc).
- 5–9 years of overall experience with strong, hands-on expertise in AI/ML solution development and delivery.
- Proven experience applying machine learning techniques to real-world datasets, including model evaluation and iteration.
- Practical experience with NLP and data learning workflows, including preparing and analyzing text and structured data.
- Ability to lead technical discussions, translate requirements into approaches, and guide teams toward outcomes. Preferred Qualifications:
- Master's degree (or equivalent) such as MTech/MCA/MSc in a relevant discipline.
- Experience leading consulting-style engagements, including stakeholder management, estimation, and delivery governance.
- Strong track record of deploying AI/ML solutions into production environments with monitoring and iteration practices.
- Experience designing NLP pipelines for domain-specific problems and improving performance through experimentation.
- Ability to define reusable frameworks, accelerators, and standards that improve team productivity and quality. Good to have skills: MLOps, Model Monitoring, Feature Engineering, Data Visualization, Cloud Platforms
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Job application FAQ
Last updated 28 October 2026
- How do I apply for AI/ML at Infosys?
- 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. Infosys may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI/ML 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 AI/ML remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this AI/ML role at Infosys?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.