Job Description
Role & responsibilities
AI Platform and internal model development
- Lead the design and development of an enterprise AI model using internal company data that delivers actionable insights and automated alerts.
- Build intelligent monitoring and exception-detection capabilities across SAP, ecommerce, IT security and other business applications.
- Establish scalable pipelines for continuous data ingestion, model training, evaluation and deployment.
Business Understanding & Problem Framing
- Engage closely with business teams to understand objectives, pain points, KPIs and decision workflows.
- Translate business requirements into structured AI/ML problems using strong analytical and consulting skills.
- Explore and analyse datasets to uncover hidden patterns and develop hypotheses that shape AI solutions.
Generative AI, NLP & LLM Development
- Lead development and deployment of Generative AI, NLP and LLM-based solutions tailored to business use cases.
- Build POCs and scalable solutions across functions such as operations, finance, supply chain, e-commerce, customer service and IT.
- Apply fine-tuning, prompt engineering, vector databases and domain-specific adaptation techniques.
Stakeholder Interaction
- Prepare and present solution proposals, models, dashboards and POCs to leadership and key stakeholders.
- Clearly articulate the impact and feasibility of AI solutions using storytelling and data-driven narratives.
- Demonstrate the relevance and effectiveness of Generative AI applications across multiple business domains.
Engineering, Cloud & MLOps Integration
- Integrate AI and ML models into enterprise systems across Azure, AWS, GCP or on-premise environments.
- Work closely with application, DevOps and IT teams to build robust MLOps pipelines ensuring automation, monitoring and lifecycle management.
- Oversee continuous improvement, productionisation and scaling of AI solutions.
Preferred candidate profile
Educational Qualification:
Bachelors degree in Software Engineering or equivalent
Professional Experience:
Overall 10+ years of experience in the area of technology development and implementation
5+ years of experience in Data Science, Machine Learning and AI-driven solution delivery.
Strong expertise in
- Generative AI, NLP and Large Language Models (LLMs)
- MLOps and full model lifecycle management
- Optimization techniques and AI/ML solution architecture
Strong programming and engineering proficiency (Python, ML frameworks, cloud platforms, vector DBs, etc.).
Experience working across enterprise systems.
Job Classification
Industry: FMCG
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Head - Data Science
Employement Type: Full time
Contact Details:
Company: RSPL Group
Location(s): Noida, Gurugram
Keyskills:
Data Science
Artificial Intelligence
Generative Ai
Aiml
Machine Learning