Artificial Intelligence Engineer

Job Profile:

Experience Required:

• Total Experience:

  7-9 years

• Relevant Experience:

  Minimum 6 years in AI/ML solution development

Educational Qualification:

• BE/B.Tech/MCA in

  Computer Science

  or equivalent

Overview

skilled AI Developer

AI/ML development, Python-based data engineering, and cloud-native architectures

Key Roles and Responsibilities

• AI/ML Development:

  Design, build, and deploy AI and machine learning models using Teradata Vantage for in-database analytics and scalable enterprise deployment.

• Python Expertise:

  Utilize Python and its data science ecosystem (NumPy, Pandas, Scikit-learn, etc.) to develop and optimize analytical pipelines.

• Teradata Vantage Integration:

  Work extensively with Teradata Vantage, including advanced SQL operations, ClearScape Analytics, and large-scale enterprise datasets.

• Model Engineering:

  Implement and optimize ML models using frameworks such as

  TensorFlow

  ,

  PyTorch

  , and

  Scikit-learn

  .

• Agentic AI Systems:

  Develop intelligent, autonomous AI agents capable of reasoning, planning, and executing tasks across enterprise data systems.

• LLM Integration:

  Integrate enterprise data with Large Language Models (LLMs) such as

  OpenAI, Claude, or Gemini

  using orchestration frameworks like

  LangChain, AutoGen, or CrewAI

  .

• RAG Pipelines:

  Design and implement

  Retrieval-Augmented Generation (RAG)

  pipelines leveraging Teradatas

  Enterprise Vector Store

  for context-enriched AI responses.

• APIs & Microservices:

  Build scalable APIs and microservices to embed AI capabilities into enterprise applications and workflows.

• Optimization & Deployment:

  Ensure performance tuning, monitoring, and continuous improvement of AI/ML solutions in production environments.

• Collaboration:

  Partner with data engineering and architecture teams to ensure seamless integration of AI capabilities into the organizations data ecosystem.

Required Skills and Competencies

• Proven experience as an

  AI/ML Developer

  ,

  Data Scientist

  , or similar role.
• Strong proficiency in

  Python

  and data science libraries (NumPy, Pandas, Scikit-learn).
• Experience working with

  Teradata Vantage

  , SQL, and large-scale enterprise datasets.
• Knowledge of

  Teradata ClearScape Analytics

  and

  Enterprise Vector Store

  preferred.
• Hands-on experience with

  LLMs

  ,

  LangChain

  ,

  AutoGen

  , or

  CrewAI

  .
• Understanding of

  cloud-native architectures

  (AWS, Azure, or GCP).
• Strong problem-solving, analytical, and communication skills.
• Ability to work in cross-functional teams and manage multiple priorities in an agile environment.

Key Deliverables

• AI/ML models and Agentic AI systems integrated with Teradata Vantage.
• Production-ready RAG pipelines leveraging Enterprise Vector Store.
• APIs and microservices for enterprise AI deployment.
• Model performance and optimization reports.
• Technical documentation and deployment guides for AI/ML workflows.