À propos
Stefanini Group is hiring!
Stefanini is looking for a Data Scientist in San Francisco, CA
For quick Apply, please reach out to Prakhar Goyal: (248) 263-5255/
Prakhar.goel@stefanini.com
Open for W2 only!
Responsibilities:
you'll be the AI/ML subject matter expert, splitting your time between: 50% - Consulting with internal teams (economists, analysts) to design and implement AI solutions for their use cases 25% - Building and maintaining CDP's core AI/ML models and frameworks 25% - Providing technical support and troubleshooting for AI/ML systems You'll work in a collaborative environment using cutting-edge technologies including Databricks, AWS, Collibra, DataMesh architecture, and PySpark to build scalable, production-ready AI systems. This is a foundational role - you'll establish our MLOps practices, GenAI frameworks, and production AI capabilities from the ground up in a highly regulated Federal environment. What You'll Bring
Consulting & Enablement (50%) Your number one job will be to help advise economists and business teams on appropriate modeling approaches based on their use cases Advise on appropriate modeling approaches for diverse scenarios: RAG/knowledge bases, anomaly detection, document understanding, audit analysis Bridge the gap between econometric models (R, Stata) and production ML pipelines Review and provide feedback on AI/ML architectural proposals Train data engineers and business users on AI/ML best practices Model Development (25%) Build production-ready AI systems for document processing (PDFs, XLSX, DOCX, CSV etc.,) Develop and deploy 1-2 RAG/knowledge base systems in first year Create reusable GenAI frameworks and patterns for the organization Implement solutions using AWS AI services (Bedrock, SageMaker, Textract, Databricks etc.,) Ensure models meet explainability requirements for regulated environments MLOps & Support (25%) Establish MLOps framework and model deployment patterns Troubleshoot model performance issues (accuracy, latency, cost) Act as escalation point for AI/ML technical issues Train the Users by providing models and documentation as well as consulting Monitor and maintain production models Stay current on AI/ML techniques and Federal regulatory requirements Help other Support Team members advance their knowledge of Data Science and modeling Job Requirements
Details:
Qualifications:
Your number one job will be to help advise users on appropriate modeling approaches based on their use cases Assist users troubleshoot their models for performance issues (both processing time and accuracy) Act as third-level support for issues related to AI and ML models Develop, maintain and improve CDP owned models Help other Support Team members advance their knowledge of Data Science and modeling Train the Users by providing models and materials to be used for training Review CDP architectural design proposals that include the use of AI/Machine Learning/GenAI Stay current on modeling techniques and Fed requirements on the use of AI/ML models Deep expertise in search, information retrieval, and ranking systems at scale Strong understanding of neural search architectures, ML/AI, and generative models ML model development, implementation, and evaluation Experience in applying LLMs and agentic AI techniques to production systems Demonstrated ability to translate technical solutions into business impact Excellent cross-team collaboration and communication skills Minimum Qualifications
Education: Master's degree in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field Experience: 4+ years in data science, ML engineering, or AI development roles Production ML: Proven track record building and deploying ML/AI models in production environments Programming: Strong Python proficiency; experience with SQL and at least one statistical language (R, Stata, Matlab, Sparkly R) ML Frameworks: Hands-on experience with modern ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face) Generative AI: Practical experience with LLMs, RAG architectures, and prompt engineering Document AI: Experience processing and extracting insights from unstructured documents at scale Cloud Platforms: Working knowledge of AWS AI/ML services (SageMaker, Bedrock preferred) Communication: Ability to explain complex AI concepts to non-technical stakeholders and translate business problems into technical solutions Tooling: Experience working with our tech stack Databricks, AWS AI/ML tools, Starburst is preferred
Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We also speak with you about the process including interviews and job offers.
About Stefanini Group:
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are CMM Level 5 company.
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Pay Range:
$ 80.00 - $ 90.00
Compétences linguistiques
- English
Avis aux utilisateurs
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