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# DATA SCIENTIST LEAD L1

- **Company:** Wipro Limited
- **Location:** Tampa, FL, United States
- **Experience:** Expert
- **Salary:** $60,000.0 - $135,000.0
- **Contract:** Temporary to permanent
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Data Transformation, DevOps, Distributed Systems, Python (Programming Language), Machine Learning, Performance Tuning, Software Engineering, Google Cloud, Cloud Platform System, Data Ingestion, Large Language Models, Prompt Engineering, Deep Learning, Model Validation, Generative AI, Fastapi, Containerization, Kubernetes, Api Design, Restful APIs, Data Pipelines, Docker
- **Published:** September 5, 2026
- **Apply:** https://www.careerjet.com/job/us6f5ac437de3b4e5302f07a90b609644e/eaa

## About the Role

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.
Preferred Qualifications
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.
Mandatory Skills: Data Analysis .
Experience: 5-8 Years .

## Description

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Search Jobs, The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions
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Do

 1. Demand generation through support in Solution development
a. Support Go-To-Market strategy
i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation
ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales
b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses

 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions
a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions
b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options
c. Integrate model performance management tools into the current business infrastructure

 3. Team Management
a. Resourcing
i. Support recruitment process to on-board right resources for the team
b. Talent Management
i. Support on boarding and training for the team members to enhance capability & effectiveness
ii. Manage team attrition
c. Performance Management
i. Conduct timely performance reviews and provide constructive feedback to own direct reports
ii. Be a role model to team for five habits
iii. Ensure that the Performance Nxt is followed for the entire team
d. Employee Satisfaction and Engagement
i. Lead and drive engagement initiatives for the team
͏
Deliver No. Performance Parameter Measure

 1. Demand generation Order booking
 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases
 3. Capability Building & Team Management % trained on new skills, Team attrition %
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We are 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., 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.


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