Overview
Skills
Job Details
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.
Skills Requirements:
Basic Skills:
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, 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.
Desired Skills:
Prior experience with federal or state governments IT projects.
Prior experience working on applications that relates to clinical domain.
Experience working in an analytical research environment.
Experience with statistical and machine learning software such as pandas and scikit-learn.
Experience in parallel processing such as GPU programming with CUDA Mathematica
Experience using markup languages such as LaTeX, HTML, etc.
Natural Language Processing for anomaly detection
Education:
Bachelor's degree with 12+ years of experience
Must be able to obtain and maintain a Public Trust. Contract requirement.