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# Data Scientist

- **Company:** SCIENTISTS INC
- **Location:** Austin, TX, United States
- **Experience:** Experienced
- **Salary:** $94,000.0 - $164,500.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, IBM Watson, HTML, Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Big Data, Information Systems, Computer Programming, Databases, Continuous Delivery, Continuous Integration, Data Visualization, DevOps, Django Web Framework, Amazon DynamoDB, Github, R (Programming Language), Hadoop Distributed File System, Apache Hive, Python (Programming Language), PostgreSQL, Machine Learning, Language Modeling, MongoDB, NoSQL, Open Source Technology, Performance Tuning, Regression Testing, Tensorflow, Scala (Programming Language), Search Technologies, SQL Databases, Systems Architecture, Tableau (Software), Unstructured Data, Scripting, Google Cloud, Pytorch, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Apache Spark, Deep Learning, Generative AI, Data Strategy, Fastapi, Information Technology, Cosmos DB, Virtual Agents, Restful APIs, Terraform, Multiplatform, Jenkins, Programming Languages
- **Published:** September 5, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-scientist-austin-tx--e8c78a7c-28df-4d0f-b786-88b9d336289a

## About the Role

2243837No5439232510.00.004/02/2026Data Scientist Infosys is seeking a Data Scientist / Gen AI Lead Consultant with ZGenerative AI, Agentic AI, Machine Learning (ML), AI and Python experience. Ideal candidate is expected to have prior experience in end-to-end implementation of Gen AI and Agentic AI based solution, fine tuning large language models, Machine Learning models that includes identification of 'right' problem, designing 'optimum' solution, implementing using 'best in class' practices and deploying the models to production. Will work in alignment with data strategy at various clients, using multiple technologies and platforms. Required Qualifications: Bachelor's Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 7 years of Information Technology experience At least 4 years of hands-on GenAI / Agentic AI and data science with machine learning Strong proficiency in Python programming.
Experience of deploying the Gen AI applications with one of the Agent Frameworks like Langgraph, Autogen, Crew AI. Experience in deploying the Gen AI stack/services provided by various platforms such as AWS, GCP, Azure, IBM Watson Experience in Generative AI and working with multiple Large Language Models and implementing Advanced RAG based solutions. Experience in processing/ingesting unstructured data from PDFs, HTML, Image files, audio to text etc. Experience with data gathering, data quality, system architecture, coding best practices Hands-on experience with Vector Databases (such as FAISS, Pinecone, Weaviate, or Azure AI Search). Experience with Lean / Agile development methodologies This position may require travel, will involve close co-ordination with offshore teams This position is located in Bridgewater, NJ; Sunnyvale, CA; Austin, TX; Raleigh, NC; Richardson, TX; Tempe, AZ; Phoenix, AZ; Charlotte, NC; Houston, TX; Denver, CO; Hartford, CT; New York, NY, Palm Beach, FL; Tampa, FL
or Alpharetta, GA, or is willing to relocate. Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Preferred Data Scientist Qualifications: 4 years of hands-on experience with more than one programming language; Python, R, Scala, Java, SQL Hands-on experience with CI/CD pipelines and DevOps tools like Jenkins, GitHub Actions, or Terraform. Proficiency in NoSQL and SQL databases (PostgreSQL, MongoDB, CosmosDB, DynamoDB). Deep Learning experience with CNNs, RNN, LSTMs and the latest research trends Experience in Python AI/ML frameworks such as TensorFlow, PyTorch, or LangChain. Strong understanding and experience of LLM fine-tuning, local deployment of open-source models Proficiency in building RESTful APIs using FastAPI, Flask, or Django. Experience in Model evaluation tools like DeepEval, FMeval, RAGAS , Bedrock model, Agile Programming Methodologies, Amazon Web Services (AWS), Analysis Skills, Apache Hive, Apache Spark, Apiary/Beekeeping, Application Programming Interface (API), Artificial Intelligence (AI), Best Practices, Big Data, Communication Skills, Computer Vision, Consulting, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Data Collection, Data Quality, Data Science, Data Visualization Tools, Database Programming Languages, DevOps, Django, Ecosystems, Establish Priorities, GCP (Good Clinical Practices), GitHub, HDFS (Hadoop Distributed File System), HTML (HyperText Markup Language), Healthcare Reimbursement, Hospital, IBM Product Family, Information Technology & Information Systems, Insurance, Java, Jenkins, Legal, Life Insurance, Machine Learning, Medical Conditions, Microsoft Windows Azure, Modeling Languages, Multiplatform/Cross-Platform, Offshoring, Open Source, Process Improvement, Programming Languages, Python Programming/Scripting Language, R Programming
Language, REST (Representational State Transfer), Regression Testing, SQL (Structured Query Language), Scala Programming Language, Statistics, System Architecture, Systems Administration/Management, Tableau, Unstructured Data, Vision Plan, Willing to Travel



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