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Senior AI / ML Data Scientist

Senior AI / ML Data Scientist

Omm IT SolutionsGwynn Oak, MD, US
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AI / ML / LLM Engineer

This is a 100% On-Site position. Selected candidate must be willing to work on-site in Woodlawn, MD, 5 days a week.

Position Description :

  • 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.

Key Required Skills :

  • Strong knowledge of AI / ML / LLM, RAG, SQL, Python, NLP, AWS, Generative AI.
  • Requirements :

    Detailed Skills Requirements :

  • Bachelor's degree with over 12 years of industry experience across Statistics, Applied Mathematics, Computer Science, and Information Science. Demonstrated expertise in RAG, LLMs, Python, NLP, Data Science, and AI / ML engineering.
  • Overall 10 Years of experience in IT industry.
  • 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 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.
  • Education / Work Experience :

    Bachelor's degree with over 12 years of industry experience across Statistics, Applied Mathematics, Computer Science, and Information Science. Demonstrated expertise in RAG, LLMs, Python, NLP, Data Science, and AI / ML engineering.

    Overall 10 Years of experience in IT industry.

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    Senior Data Scientist • Gwynn Oak, MD, US