Design and develop AI-based solutions under guidance, including:
Intelligent Agents/Assistants/Chatbots.
Proof-of-concepts (POCs), MVPs, and Pilot solutions for business validation.
Integrate AI capabilities into internal tools, applications, or business processes.
Automation tools that use AI for ticket handling, workflow assistance, case summarization, and task acceleration.
AI-enabled support tools for issue triage, root cause analysis assistance, log analysis, and service productivity improvement.
Document and knowledge base search solutions.
Develop deployable products using known LLMs to solve functional or technical blockers.
AI-enabled productivity tools for internal business users.
Software Development & Sustenance(SDLC Practices)
Work within SDLC processes to ensure AI solutions are developed, tested, documented, and released in line with project standards.
Support production deployments during sustenance phases by monitoring solution behavior, analyzing issues, and assisting in bug fixes and enhancements.
Business Problem Solving & AI Application
1.Translate business problem statements into AI-driven tools, features, prototypes, or scalable solutions.
Work with functional teams to gather requirements, understand workflows, and define AI use cases with measurable outcomes.
Support the evaluation of where AI, automation, machine learning, or generative AI can add business value.
Data, Models & Experimentation
Work with structured and unstructured data to support AI/ML use cases.
Eperiment with modern AI/ML techniques or models(LLMs/SLMs), APIs, and frameworks to solve targeted business problems.
Support data preparation, prompt designs, insights generation, model evaluation, and output quality improvement.
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Participate in model testing, validation, and optimization for business relevance and usability.
Collaboration & Continuous Improvement
Collaborate with FES business SMEs, stakeholders, FDC team, developers, analysts, architects to drive solution development.
Document use cases, solution logic, technical assumptions, and implementation approach.
Stay updated with emerging trends in AI, machine learning, large/small language models, and enterprise AI tools.
Monitor deployed AI solutions, analyze logs/issues, and support troubleshooting or improvements.
Contribute ideas to expand AI adoption and digital innovation within FES Entities.
Experience
0-2 years
Qualifications
Bachelor’s degree in Computer Engineering/Science, Information Technology specialization in Artificial Intelligence.
General Requirements
Strong understanding of AI/ML fundamentals, including supervised/unsupervised learning, feature engineering, and basic neural network concepts.
Understanding of Generative AI / LLMs, prompt engineering, and AI application use cases
Proficiency in Python and it's libraries/tools such as Pandas, NumPy, Scikit-learn, and exposure to PyTorch / TensorFlow is preferred.
Basic knowledge of SQL, APIs, version control (Git), and software development practices
Strong analytical and problem-solving ability
Interest in building practical AI solutions for business use cases
Ability to work in cross-functional teams and translate technical concepts into simple business language
Strong ownership, curiosity, and execution mindset
Our commitment to Diversity, Equity, and Inclusion
At Mahindra and Mahindra Limited, we believe that diversity drives innovation, and inclusion is at the heart of everything we do. We are committed to cultivating a workplace where every individual feels valued, respected, and empowered to thrive.
We are proud to be an Equal Opportunity Employer. All qualified applicants will be considered for employment without regard to age, caste, race, religion, color, ethnic origin, gender identity, nationality, physical or mental disability, medical condition, sexual orientation, educational background, marital or domestic partnership status, pregnancy or childbirth, veteran status, citizenship status, ancestry, financial status, or any other personal characteristic protected by applicable law.
We actively encourage candidates from all backgrounds to apply and bring their unique perspectives to our teams. We are committed to ensuring an accessible and inclusive experience for all applicants.
Together, we rise by embracing differences and building a future that reflects the communities we serve.
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