GenAI Developer 1

Our solutions are a key part of most industries - electronics, medical research, renewable energy, food production, infrastructure and many more. Working with us means working with the latest technologies and groundbreaking, sustainable innovations.

Join us on our journey for a better tomorrow.

Your Role

We are looking for a Data Scientist with 2–5 years of experience who has hands-on expertise in building and deploying classical machine learning and deep learning models, along with exposure to Generative AI systems. You will collaborate with business and engineering teams to translate operational challenges into AI/ML problem statements and contribute to scalable solutions that can be deployed on cloud infrastructure.

Main responsibilities:

• Work with business stakeholders to understand problems and help frame them into AI/ML use cases.
• Design and implement models using classical techniques (regression, classification, forecasting, anomaly detection) and deep learning architectures (CNNs, Transformers).
• Contribute to Generative AI applications — such as RAG pipelines, agentic frameworks, and LLM orchestration.
• Support responsible use of GenAI by evaluating model suitability, explainability, and cost-effectiveness.
• Assist in setting up CI/CD pipelines for model training, testing, and deployment; monitor models for data drift and performance issues.
• Design, develop, implement and support GenAI platforms, solutions and systems from scratch and integrate GenAI technology into existing platforms and applications securely and stably.
• Write and maintain documentation for GenAI solutions, including technical specifications, user guides and best practices.
• Work closely with cross-functional teams and stakeholders to understand requirements and identify opportunities for GenAI Solutions, as well as to ensure successful deployments.
• Stay updated on the latest advancements in GenAI technology and contribute to the research and development of new AI-based solutions.
• Research, analyze and evaluate the best off-the-shelf GenAI solutions and review with relevant stakeholders to determine the best fit for our business needs.

 
To succeed, you will need  

The Data Scientist will understand requirements, develop GenAI-based systems or classical mahcine learnig models, and ensure seamless integration with existing technology infrastructure. 

Experience : 2 to 5 Years

Additionally, the candidate will scout the market for the best off-the-shelf GenAI solutions, evaluate different technology platforms, and identify the most effective and efficient ways to incorporate them into our systems. This includes researching and analyzing free and paid solutions to determine the best fit for our needs.

The ideal candidate must have strong knowledge of MEAN, Azure (AI), AI and GenAI, DevOps, Python and Jira. Additionally, proficiency in other relevant technologies and frameworks, excellent problem-solving skills and the ability to work in a dynamic environment are essential for success in this role.

Required skills are as follows:

• You have proven experience with MEAN stack: developing and owning applications from intake to delivery and support.
• RAG pipelines, prompt engineering, fine-tuning, Agentic AI
• Regression, classification, forecasting, anomaly detection, CNNs, Transformers
• DevOps an Git do not have any secrets for you.
• You know the ins and outs of AI and GenAI, and can perform the different steps of the data science process: from data extraction over model building to deployment and monitoring has no secrets for you.
• You know the Azure cloud stack, especially Azure AI.
• You know your way around in Python, React and SQL.
• You communicate fluently in English.
• You are not shy to challenge the governance processes and try to improve the current way of working.

Preferably, you also have:

Knowledge about the Azure AI ecosystem.
Experience with digital signal processing (of voice, images, video).
Experience with the following tools/technologies/frameworks: Jira, Agile, Scrum, Confluence.

As a person, you:

Have a strong analytical mindset and excellent problem-solving skills.
Have good communication skills. You can collaborate with others and you like to share your knowledge with them.
Take ownership and initiative and you feel responsible for your job. You can work autonomously, yet enjoy working in a team as well.Are innovative and like to solve problems creatively. You think outside of the box and come up with solutions to roadblocks yourself, yet you are open to new ideas and experiences. You believe that there’s always a better way.
Have a critical mindset. You are prepared to be challenged by our team as well as other stakeholders. In return, we expect you to do the same.
Are customer oriented. User satisfaction is your priority to guarantee a long-term commitment.
Are flexible and eager to learn. You enjoy learning new skills and can adapt to different tasks. You are able to work in a dynamic environment.

In return, we offer you

We provide challenging work environment.
We are truly a product design and development multi-national organization thereby every person can contribute and grow.
We allow every passionate employee to further develop and grow those who believe that "there is always a better way". We let people challenge the "Status Quo" and further take initiatives in developing new tools, framework, and applications.
We like to be "First in Mind - First in Choice" in every segment and businesses those we operate.
Opportunity to work in a global, innovative environment.
Access to cutting-edge technology and tools.
Career development and continuous learning opportunities.
A culture that values respect, openness, and sustainability.
Join Atlas Copco and be part of a team that believes in challenging the status quo and driving innovation in every segment and business we operate. We encourage employees to contribute, grow, and challenge themselves to find a better way.

​

City

Pune, Maharashtra

Last Day to Apply

30-08-2026

Diverse by nature and inclusive by choice
Bright ideas come from all of us. The more unique perspectives we embrace, the more innovative we are. Together we build a culture where difference is valued and we share a deep sense of purpose and belonging.