Infosys
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Indore · On-site · 3-6 Yrs · 23 hours ago
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
• Develop train evaluate and deploy Machine Learning models for business use cases • Build predictive analytics classification regression recommendation and NLP solutions • Work with structured and unstructured datasets for model development and optimization • Perform feature engineering model tuning and performance optimization • Develop data pipelines and ETL ELT workflows using Snowflake • Build AI ML solutions leveraging Snowpark and Snowflake s data platform capabilities • Design and implement scalable data models and data warehousing solutions in Snowflake • Develop applications using LL
Responsibilities
- Develop train evaluate and deploy Machine Learning models for business use cases
- Build predictive analytics classification regression recommendation and NLP solutions
- Work with structured and unstructured datasets for model development and optimization
- Perform feature engineering model tuning and performance optimization
- Develop data pipelines and ETL ELT workflows using Snowflake
- Build AI ML solutions leveraging Snowpark and Snowflake s data platform capabilities
- Design and implement scalable data models and data warehousing solutions in Snowflake
- Develop applications using LLMs and Generative AI technologies
- Build Retrieval Augmented Generation RAG pipelines integrating enterprise data sources
- Implement prompt engineering and LLM evaluation techniques
- Collaborate with Data Engineers Data Scientists and business stakeholders to deliver AI driven solutions
- 2 3 years of hands on AI ML development experience
- Strong Python and SQL programming skills
- Experience developing and deploying ML models using Snowflake and cloud platforms
- Hands on experience with Snowflake Data Cloud Snowpark and data warehousing concepts
- Understanding of the ML lifecycle from data preparation to model deployment and monitoring
- Experience building and maintaining ETL ELT pipelines and data transformation workflows
- Experience with Snowpark for Python and Snowflake native development
- Exposure to Generative AI LLMs Prompt Engineering and RAG architectures
- Knowledge of LangChain Vector Databases and Semantic Search
- Experience with MLOps practices model monitoring and CI CD pipelines
- Familiarity with Docker and containerized deployments
- Exposure to Snowflake Cortex AI capabilities
- Experience with AWS Azure or GCP cloud environments is a plus
- SnowPro Certification or relevant Snowflake certifications are preferred
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Job application FAQ
Last updated 13 October 2026
- How do I apply for AI/ML Engineer - Snowflake Cloud 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.
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- 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 Engineer - Snowflake Cloud remote or on-site in Indore, Madhya Pradesh?
- This listing is marked on_site with location Indore, Madhya Pradesh. Confirm details on the job description before applying.
- What skills matter for this AI/ML Engineer - Snowflake Cloud role at Infosys?
- This is a mid-level AI/ML Engineer - Snowflake Cloud role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.