Senior AI/ML Data Scientist

Omm IT Solutions; Milford Mill (MD); On-site; USD 116,000 - 175,000; Full time

Job summary

An established industry player is seeking a Senior Data Scientist to drive innovative solutions in AI and machine learning. This role offers the opportunity to work on cutting-edge projects involving natural language processing and generative AI, focusing on real-world challenges in the clinical domain. The ideal candidate will leverage their extensive experience to develop automated data solutions and collaborate with cross-functional teams. Join a dynamic environment where your analytical skills will make a significant impact on advanced data solutions and contribute to the evolution of AI technologies.

Qualifications

• 12+ years of experience in data science with a focus on NLP and AI/ML.
• Expertise in Python programming and data analysis techniques.
• Experience with ML model deployment and operations.

Responsibilities

• Develop and deploy new techniques for NLP understanding.
• Provide accurate and timely data analysis for complex problems.
• Collaborate with teams to identify gaps in data monitoring.

Skills

AI/ML/LLM

Python

Natural Language Processing (NLP)

Generative AI

Data Analysis

Statistical Concepts

Problem-solving

Education

Bachelor's degree in Statistics

Bachelor's degree in Applied Mathematics

Bachelor's degree in Computer Science

Bachelor's degree in Information Science

Tools

TensorFlow

PyTorch

Pandas

scikit-learn

NLTK

Azure ML

AWS EC2

Apache Spark

Airflow

Job description

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• Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week.
  

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.
  

Seniority level

• Seniority level

  Executive

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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