Data Scientist
Data Scientist
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Job Description
JOB TITLE: Data Scientist / Gen AI Lead Consultant
Location: Austin TX
Duration : Full Time
Data Scientist / Gen AI Lead Consultant with Generative 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 Data Scientist Qualifications:
- Bachelors Degree or foreign equivalent will also consider three years of progressive experience in the specialty in lieu of every year of education.
- At least 8 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 or 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 Hybrid Retrieval Semantic Chunking Metadata Filtering and Vector Search Optimization
- Experience with Advanced LLM concepts like Prompt Compression Fine-Tuning Caching etc.
- Experience working with multimodal models integrating image text or audio into GenAI workflows.
- Experience working with Vector Databases (such as FAISS Pinecone Weaviate or Azure AI Search).
- Experience in Model evaluation tools like DeepEval FMeval RAGAS Bedrock model evaluation including human-in-the-loop feedback loops.
- Experience with LLMOps practices including prompt versioning caching observability cost tracking and production deployment of LLMs.
- Strong understanding of AI governance (like GDPR explainability) data privacy model safety (e.g. hallucination toxicity bias) and enterprise-grade compliance requirements.
- Experience with data gathering data quality system / microservices architecture coding best practices
- 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 /Alpharetta GA or is willing to relocate.
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 evaluation.
- Experience with perception (e.g. computer vision) time series data (e.g. text analysis)
- Big Data Experience strongly preferred HDFS Hive Spark Scala
- Data visualization tools such as Tableau Query languages such as SQL Hive
- Good applied statistics skills such as distributions statistical testing regression etc.
Exposure to Front -End / Full-Stack Integration (React / Angular TypeScript REST APIs GraphQL Event-Driven
Employment Type
Full-time
