AI/ML Engineer - Snowflake Cloud

Infosys; Indore District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Infosys is seeking an AI/ML engineer in Indore to develop, train, and deploy machine learning models for business use cases. You will build predictive analytics, NLP solutions, and data pipelines using Snowflake and Snowpark, while leveraging cloud platforms and MLOps practices.

Collaborate with data engineers and data scientists to deliver scalable AI-driven solutions and robust data warehousing designs that support enterprise initiatives.

Qualifications

• 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.

Responsibilities

• Develop, train, evaluate, and deploy ML 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 data platform capabilities.
• Design 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.

Skills

Python

SQL

ML model deployment

Snowflake

Snowpark

Data warehousing

ETL/ELT pipelines

Cloud platforms

MLOps

Docker

CI/CD pipelines

LangChain

Vector Databases

Semantic Search

AWS/Azure/GCP

Tools

Snowpark

Snowflake

LangChain

Vector Databases

Semantic Search

Docker

CI/CD

Snowflake Cortex AI

AWS

Azure

GCP

Job description

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

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.

• 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.