Senior AI/ML Data Scientist

Overview

On Site
Salary Range: $182543 - $192543 with benefits.
Contract - W2

Skills

NLP
ML
Generative AI
Python
Pandas
Numpy
PyTorch

Job Details


Please Note:
  • This is 100% On-Site Position.
  • Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week.
Position Description:
  • Stay updated on the new methods in NLP, ML and Generative AI
  • 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
  • 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.
Key Required Skills:
Strong knowledge of AI/ML/LLM, Python, NLP, Generative AI and experience in the clinical domain.

Requirements

Basic Qualifications:
  • Bachelor's degree with 12+ years of experience.
  • Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with industry experience on 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.
Required Skills:
  • 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.
Desired Skills:
  • Prior experience working on applications in the clinical domain.
  • Prior experience with federal or state governments IT projects.
  • 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.


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