Sr Data Scientist

Area(s) of responsibility

Empowered By Innovation
Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities.

Role: AI Consultant
Location: Bangalore, Pune, Noida
Experience: 6-9 years

AI Consultant to enhance and apply Birlasoft’s AI Parts Classification tool, generating Product Category and enriching attributes.
The role requires AI/ML expertise, industrial parts knowledge, and stakeholder collaboration.
 
Key Responsibilities
•    Analyze Birlasoft’s AI Parts Classification tool and identify gaps 
•    Enhance AI/ML models (e.g., NLP, clustering, GenAI)
•    Fine-tune models for accuracy and scalability
•    Validate AI outputs against business requirements, iterating as needed.
•    Work with stakeholders to validate attributes and refine AI outputs.
•    Ensure AI outputs integrate into the project pipeline, applying business rules to prioritize existing values.
•    Document enhancements, processes, and validation insights for reports.
Skills and Qualifications
•    7+ years in AI-driven data classification, ideally in industrial parts/MRO domains.
•    Proven ability to enhance AI/ML tools for business-specific needs.
•    Expertise in AI/ML (NLP, clustering, supervised/unsupervised learning).
•    Experience with AI classification tools and programming (Python/R).
•    Knowledge of industrial standards (e.g., UNSPSC, eClass).
•    Ability to translate business needs into AI classification tasks.
•    Strong stakeholder management and communication skills.
Education:
•    Bachelor’s/Master’s in Computer Science, Data Science, AI, or related field.
•    AI/ML certification (e.g., TensorFlow, AWS ML) is a plus.