Senior AI/ML Data Scientist

1 week ago

windsor mill, United States Technogen, Inc. Full time

Senior AI/ML Data Scientist

Location: Windsor Mill, MD (Hybrid – 2 days onsite per week)

Public Trust takes 3-4 weeks

Key Required Skills: Strong knowledge of AI/ML/LLM, Python, NLP, Generative AI, and experience with clinical Domain.

Position Description

  • Staying updated on the new methods in NLP, ML and Generative AI
  • Understanding real-world challenges and developing automated data solutions
  • Developing, testing, and deploying new techniques for NLP understanding
  • Scalable development/deployment of ML and Generative AI approaches (such as Large Language Models (LLMs)
  • Training and optimizing NLP/LLM models and creating Python-based pipeline.
  • 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.

Detailed Skills Requirements

FOUNDATION FOR SUCCESS (Basic Qualifications)

  • Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with industry experience on NLP, data science, AI/ML/LLM engineering.


FACTORS TO HELP YOU SHINE (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, 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 machine learning 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 (like spacy, langchain), text annotation tools and semantic frameworks.
  • Experience with statistical and machine learning software such as pandas and scikit-learn.
  • Prior experience working on applications that relates to clinical domain.
  • 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., MySQL, SQLite, SQL, etc.
  • Either experience with, or the ability and willingness to learn distributed processing via the Hadoop ecosystem, i.e., Spark, Impala and Hive.
  • Excellent analytical skills to identify potential risks and propose effective solutions.
  • Clear communication skills to convey complex technical concepts to various partners.
  • Ability to collaborate with cross-functional teams.
  • Providing problem-solving skills, proven communication in written and verbal formats to various audiences to include executive leadership.


Education

  • Bachelor's degree with 12+ years of experience
  • Must be able to obtain and maintain a Public Trust. Contract requirement.

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