Data Scientist Lead L1
Wipro•Tampa, FL
•Remote
About The Position
Wipro Limited is seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP). This role requires a deep understanding of system architecture design, scalable APIs, and end-to-end AI solution development. The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions.
Requirements
- 8+ years of professional experience in software development and system design.
- Strong proficiency in Python and experience with FastAPI for API development.
- Hands-on experience with Generative AI frameworks and RAG architectures.
- Solid understanding of system and architecture design principles for distributed applications.
- Experience deploying solutions on any major cloud platform (AWS, Azure, GCP).
- Familiarity with vector databases, embedding models, and retrieval pipelines.
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Data Analysis
Nice To Haves
- Experience with LLM fine-tuning, prompt engineering, and model evaluation.
- Knowledge of containerization (Docker) and orchestration (Kubernetes).
- Exposure to CI/CD pipelines and DevOps practices.
Responsibilities
- Demand generation through support in Solution development
- Support Go-To-Market strategy by collaborating with sales, pre-sales & consulting teams to assist in creating solutions and propositions for proactive demand generation.
- Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales.
- Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses.
- Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions.
- Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions.
- Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options.
- Integrate model performance management tools into the current business infrastructure.
- Team Management including resourcing, talent management, performance management, and employee satisfaction and engagement.
- Support recruitment process to on-board right resources for the team.
- Support on boarding and training for the team members to enhance capability & effectiveness.
- Manage team attrition.
- Conduct timely performance reviews and provide constructive feedback to own direct reports.
- Be a role model to team for five habits.
- Ensure that the Performance Nxt is followed for the entire team.
- Lead and drive engagement initiatives for the team.
- Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.
- Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance.
- Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
- Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases.
- Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP).
- Conduct performance tuning and optimization of AI models and APIs.
- Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies.
Benefits
- full range of medical and dental benefits options
- disability insurance
- paid time off (inclusive of sick leave)
- other paid and unpaid leave options
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
