Senior AI/ML Data Scientist

Hands on experience in Python, RAG LLM, NLP, ML and Generative AI

Well versed in SQL and analyzing trends and transactional data.

Understand real world challenges and develop automated data solutions

Develop, test, and deploy new techniques for NLP understanding

Scalable development/deployment of ML and Generative AI approaches (such as Large Language Models (LLMs)

Train and optimize NLP/LLM models and create Python based pipelines

Experience building cloud native solutions on AWS

Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution.

Advise on the methods and data needed and/or available to evaluate the (intelligence or data) problem.

Collaborate with data collectors and analysts to identify and close gaps on complex monitoring problems.

Provide accurate, timely, complex, and sophisticated data analysis.

Pay range for this position is $65/hr - $85/hr

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here.

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Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with industry experience on RAG LLM, Python, NLP, data science, AI/ML/LLM engineering.
Minimum 8 Year (s) of Data Scientist experience
Must be able to obtain and maintain a Public Trust. Contract requirement.
Experience with Natural Language Processing (NLP), Generative AI and Large Language Models (LLM)
Fluency in Python Programming, version control and collaboration with GIT, standard Python packages (ex. Pandas, numpy, matplotlib) and ML frameworks
Knowledge of TensorFlow, PyTorch, Pandas, scikit-learn, NLTK, Azure ML (optional), Amazon Web Services EC2.
Experience with scalable data engineering frameworks such as Apache Spark and orchestration frameworks such as Airflow, and/or experience with semantic search.
Expert knowledge in conducting data analysis and applying advanced statistical concepts and ML methods to build, train, test, and evaluate a variety of supervised and unsupervised analytic models.
Experience with ML model deployment and operations like DevOps, MLOps, LLMOps.
Experience with NLP and Generative AI libraries like regular expressions (e.g., spacy, langchain), text annotation tools and semantic frameworks.
Ability to clean and process large amounts of real-world data.
Experience retrieving and manipulating data from a variety of data sources included DB2, Oracle, SQL Server, Hadoop and flat files.
Experience with database management systems (e.g., PostgresSQL, MySQL, SQLite, SQL, etc.)
Excellent analytical skills to identify potential risks and propose effective solutions.
Excellent problem-solving skills, ability to collaborate with cross-functional teams and proven communication in written and verbal formats to various audiences to include executive leadership.

Prior experience with federal or state governments IT projects.
Industry experience preferred
Experience building AI chatbot.
Experience with, or the ability and willingness to learn distributed processing via the Hadoop ecosystem, i.e., Spark, Impala and Hive.
Experience working in an analytical research environment.
Experience in parallel processing such as GPU programming with CUDA
Experience with Mathematica
Experience using markup languages such as LaTeX, HTML, etc.
Experience with Natural Language Processing for anomaly detection

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.