Data Scientist-Gen AI

Happiest Minds Technologies; Pune District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Happiest Minds Technologies in Pune invites an AI/ML Engineer with a strong foundation in Mechanical Engineering to design and deploy ML, DL and Generative AI solutions for engineering applications. The role focuses on building AI-driven engineering solutions, LLM/RAG-based workflows, and automation tools in collaboration with global design teams.

You will explore emerging AI technologies, contribute to innovation programs, and learn internal systems and processes to accelerate product

Qualifications

• Basic understanding of Physics and Mechanical Engineering concepts.
• Experience in Machine Learning, Deep Learning, and Generative AI.
• Hands-on experience with LLMs and RAG-based solution development.
• Strong Python programming and engineering automation experience.
• Knowledge of AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong analytical and problem-solving skills.
• Knowledge of CAD tools: AutoCAD, Creo, CATIA, NX, or SolidWorks.

Responsibilities

• Develop and deploy ML, DL, and Generative AI solutions for engineering applications.
• Design and implement LLM and RAG-based workflows.
• Build Python-based engineering automation tools and scripts.
• Explore emerging AI technologies and evaluate their applicability to engineering products.
• Collaborate with global digital engineering teams on innovation initiatives.
• Participate in internal innovation programs and technology development activities.
• Learn and apply internal engineering systems, processes, and best practices.

Skills

Python programming

ML/DL/Gen AI

LLM & RAG workflows

Engineering automation

ML frameworks

Analytical problem solving

ME fundamentals

Tools

CAD tools

Job description

Role Summary

We are looking for an AI/ML Engineer with a strong understanding of Mechanical Engineering fundamentals and hands-on experience in Machine Learning, Deep Learning, and Generative AI technologies. The role involves developing AI-driven engineering solutions, LLM/RAG-based workflows, and automation tools while collaborating with global engineering and digital design teams.

Key Responsibilities

• Develop and deploy ML, DL, and Generative AI solutions for engineering applications.


• Design and implement LLM and RAG-based workflows.


• Build Python-based engineering automation tools and scripts.


• Explore emerging AI technologies and evaluate their applicability to engineering products.


• Collaborate with global digital engineering teams on innovation initiatives.


• Participate in internal innovation programs and technology development activities.


• Learn and apply internal engineering systems, processes, and best practices.

Must-Have Skills

• Basic understanding of Physics and Mechanical Engineering concepts (Structural, Thermal, and Fluid Flow).


• Experience in Machine Learning, Deep Learning, and Generative AI.


• Hands-on experience with LLMs and RAG-based solution development.


• Strong Python programming and engineering automation experience.


• Knowledge of AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.


• Strong analytical and problem-solving skills.


• Knowledge of CAD tools: AutoCAD, Creo, CATIA, NX, or SolidWorks.