Senior AI/ML Data Scientist
Senior AI/ML Data Scientist
Posted on :
08-05-2025
Employer Active
1 Vacancy
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Monthly Salary
$ 182543 - 192543
Vacancy
1 Vacancy
Posted on :
08-05-2025
Job Description
Please Note:
- This is 100% OnSite Position.
- Selected candidate must be willing to work onsite 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:
- Bachelors degree with 12 years of experience.
- Bachelors 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 scikitlearn 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 realworld 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 problemsolving skills ability to collaborate with crossfunctional 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.
NLP, ML, Generative AI, Python, Pandas, Numpy, PyTorch, AWS EC2, Apache Spark
Employment Type
Full Time
Key Skills
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