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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist L3 - **Company:** Wipro Limited - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Salary:** $45,000.0 - $121,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Frameworks, Big Data, Cloud Computing, Code Generation, Continuous Integration, Data Systems, Software Debugging, Distributed Computing Environment, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Standard Sql, Azure Machine Learning, Search Technologies, Software Engineering, Systems Integration, Pytorch, Large Language Models, Multi-Agent Systems, Prompt Engineering, Apache Spark, Generative AI, Pandas, Scikit Learn, Kubernetes, Machine Learning Operations, Software Version Control, Data Pipelines - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a98f24264faa1665 ## About the Role Core Data Science & Analytics * Demonstrate strong expertise in data exploration, feature engineering, statistical modeling, and predictive analytics, with the ability to operationalize models in production environments. * Have deep proficiency in Python (preferred) and/or R, with experience using modern data science libraries such as NumPy, Pandas, Scikit-learn, and PyTorch or TensorFlow. * Be highly proficient in SQL and experienced in working with large-scale data warehouses and data pipelines. Machine Learning & AI Engineering * Possess strong experience developing, evaluating, and deploying machine learning and deep learning models across the model lifecycle. * Experience building and deploying models using modern ML and MLOps practices, including experiment tracking, model versioning, CI/CD for ML, and monitoring. * Familiarity with cloud-based ML platforms (AWS preferred) and distributed data processing frameworks (e.g., Spark). Generative AI & Agentic Systems * Hands-on experience with Large Language Models (LLMs) and Generative AI frameworks, including prompt engineering, retrieval-augmented generation (RAG), and model orchestration. * Experience building AI agents or agentic workflows capable of reasoning, tool use, multi-step task execution, and autonomous decision-making. * Familiarity with LLM application frameworks (e.g., LangChain, LlamaIndex, or similar orchestration frameworks). * Experience with vector databases, embeddings, and semantic search for building knowledge-driven AI systems. Agentic Coding & AI-Assisted Development * Strong understanding of AI-assisted software development workflows, including agent-based coding, code generation, automated debugging, and evaluation loops. * Experience integrating LLMs with APIs, internal tools, and data systems to build production-grade AI copilots or autonomous workflows. Business Impact & Communication * Ability to translate complex technical concepts into clear business insights, communicating effectively with both technical and non-technical stakeholders. * Strong analytical thinking with the ability to work with ambiguous or incomplete data, develop creative analytical approaches, and connect results to business outcomes. Domain & Collaboration * Experience applying data science in digital marketing, customer analytics, or growth analytics is highly desirable but not mandatory. * Comfortable collaborating with engineering, product, and business teams to build scalable data products and AI-driven solutions., Client Centricity Passion for Results Execution Excellence Collaborative Working Learning Agility Problem Solving & Decision Making Effective communication Mandatory Skills: Product Engineering Data Sciences . Experience: 3-5 Years . ## Description The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [How to implement convenient Python bindings to C++](https://www.wearedevelopers.com/videos/618-how-to-implement-convenient-python-bindings-to-c) ## Related Articles - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)