AI Engineer

About the Company

Welspun World is one of India's fastest growing global conglomerates with businesses in Home Textiles, Flooring Solutions, Advanced Textiles, DI Pipes, Pig Iron, TMT bars, Stainless Steel, Alloy, Line Pipes, Infrastructure & Warehousing.

At Welspun, we strongly believe in our purpose to delight customers through innovation and technology, achieve inclusive & sustainable growth to remain eminent in all our businesses. From Homes to Highways, Hi-tech to Heavy metals, We lead tomorrow together to create a smarter & more sustainable world.

Job Summary

Job Title: AI Engineer

We are seeking an experienced Senior Data Scientist with 2-4 years of expertise in developing and deploying AI/ML and Generative AI solutions. This role requires a deep understanding of machine learning, generative models, and data engineering, focusing on end-to-end model development and optimizing data pipelines.

Key Technologies & Skills:

• AI/ML and Generative AI solutions (including building agents)
• Machine Learning and Generative Models
• Data Engineering
• Containerization Technologies (Docker, Kubernetes)
• Cloud Platforms (AWS, Azure, GCP)
• Agentic Frameworks (LangGraph)
• Python, Pyspark, SQL
• LLMs, Chatbots
• GenAI Ops

Job Description

We are looking for an experienced Senior Data Scientist with 2-4 years of expertise in developing and deploying AI/ML and Generative AI solutions, including building agents. The ideal candidate will have a deep understanding of machine learning, generative models, and data engineering. They will be responsible for end-to-end model development, optimizing data pipelines, and collaborating with cross-functional teams to drive business impact.

Key Responsibilities

• Design, develop, and deploy machine learning and Generative AI use cases to meet business objectives.
• Utilize Generative AI models for diverse applications including text generation, image synthesis, and conversational AI.
• Develop and maintain both real-time and batch AI/ML pipelines in production environments to ensure seamless operations.
• Deploy machine learning and Generative AI models using containerization technologies such as Docker and Kubernetes.
• Leverage cloud platforms like AWS, Azure, or GCP for scalable and efficient model deployment.
• Build intelligent agents using popular agentic frameworks such as LangGraph to enhance AI capabilities.

Key Interactions

• Top Management
• Mid Management
• Junior Management
• Cross-Functional Collaboration
• Client Relations

Requirements

Experience

• 2-4 years of experience in developing and deploying AI/ML and Generative AI solutions.

Skills & Competencies

• Business & Commercial acumen: Proficient
• Entrepreneurship: Proficient
• Global Mind-set: Proficient
• People Excellence: Proficient
• Generative AI models: Expert
• LLMs, Chatbots: Expert
• Python, Pyspark, SQL: Expert
• GenAI Ops: Expert