Infosys
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Noida · Hybrid · Oct 26
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
• Role: MLOps Specialist / Senior MLOps Engineer • Work Mode: Hybrid • Experience: 5+ Years in DevOps / Cloud / MLOps
Responsibilities
- ML Lifecycle & Platforms: End-to-end training and inference pipelines, model deployment, monitoring (data/concept drift detection), automated retraining, and Feature Store management using AWS SageMaker, MLflow, Kubeflow, or Databricks.
- Cloud & Infrastructure: Hands-on AWS infrastructure automation (SageMaker, Lambda, S3, ECS, IAM, RDS) and container orchestration using Docker, Kubernetes / EKS.
- Infrastructure as Code (IaC): Solid hands-on provisioning using Terraform and CloudFormation (CFT).
- CI/CD & Scripting: Building and automating robust CI/CD workflows using Python, Jenkins, and Git.
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Job application FAQ
Last updated 4 November 2026
- How do I apply for Machine learning ops 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 Machine learning ops 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 ops remote or on-site in Noida, Uttar Pradesh?
- This listing is marked hybrid with location Noida, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this Machine learning ops 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.