ML Engineer I

Role Description

Job Title: AI Engineer

Experience Level: 5- 9 Years

Work Location: Bangalore, Hyderabad, Chennai, Trivandrum, Kochi, Noida, Pune,Gurgaon We are seeking an innovative and results-driven

AI Engineer to design, develop, test, and deploy AI-powered solutions that deliver business value through automation, advanced analytics, and intelligent applications. The ideal candidate will collaborate with cross-functional teams to build scalable Machine Learning (ML) and Generative AI solutions that enhance operational efficiency, improve customer experiences, and accelerate digital transformation initiatives. Key Responsibilities

• Design, develop, test, and deploy AI/ML and Generative AI solutions to solve complex business challenges.
• Build, maintain, and optimize data pipelines to support AI model training and inference.
• Develop and integrate Large Language Model (LLM) applications, AI agents, and Retrieval-Augmented Generation (RAG) solutions.
• Create scalable APIs and AI services for enterprise-grade applications.
• Test agentic AI solutions and validate outputs to ensure accuracy, reliability, and expected behavior.
• Collaborate with data engineers, software developers, product teams, and business stakeholders to translate requirements into AI-driven solutions.
• Evaluate, fine-tune, and monitor AI models for performance, accuracy, scalability, and reliability.
• Implement MLOps best practices for deployment, monitoring, testing, and lifecycle management of AI models.
• Ensure AI solutions comply with enterprise security, governance, privacy, and Responsible AI standards.
• Stay current with emerging AI technologies, frameworks, and industry trends, and recommend innovative approaches.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Strong programming skills in Python and SQL.
• Hands-on experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Llama, or similar platforms.
• Experience with prompt engineering techniques.
• Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP).
• Experience developing and consuming REST APIs.
• Proficiency with Git and software development best practices.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience with modern data platforms such as Snowflake and Databricks.
• Knowledge of vector databases, semantic search, and RAG architectures.
• Hands-on experience with AI orchestration frameworks such as: + LangChain + LangGraph + Semantic Kernel
• Familiarity with: + Docker + Kubernetes + CI/CD pipelines
• Experience developing AI-powered dashboards and applications using Streamlit.

Preferred Technical Skills Programming & Data

• Python
• SQL Artificial Intelligence & Machine Learning
• Machine Learning
• Deep Learning
• Generative AI
• Large Language Models (LLMs)
• Prompt Engineering AI Architecture
• Retrieval-Augmented Generation (RAG)
• Vector Databases
• Semantic Search
• Agentic AI Development
• Agentic AI Testing and Output Validation Cloud & Data Platforms
• Microsoft Azure
• Snowflake
• Databricks Software Engineering
• REST APIs
• Microservices
• Git
• Docker
• Kubernetes
• CI/CD Visualization & Analytics
• Streamlit
• Power BI
• Tableau Success Measures

The Successful Candidate Will

• Deliver scalable AI solutions that improve business outcomes.
• Automate manual processes through AI-driven workflows.
• Improve model accuracy, performance, and reliability.
• Successfully test agentic workflows and validate outputs against expected results.
• Partner effectively with stakeholders to translate business needs into AI capabilities.
• Continuously evaluate and adopt emerging AI technologies to drive innovation.

Skills Agentic AI, Databricks, Machine Learning, LLMs, LangChain, Generative AI, Snowflake, RAG, Python