Omm
Job in
Woodlawn, Prince George's County, Maryland, USA
Listed on 2026-10-08
Listing for:
Omm IT Solutions
Full Time
position Listed on 2026-10-08
Job specializations:
-
IT/Tech
Data Analyst, Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Job Description & How to Apply Below
Omm IT Solutions | Permanent W-2 Employee / Corp2
Corp Contractor
Woodlawn, United States | Posted on 07/29/2026
- Job Type Permanent W-2 Employee / Corp2
Corp Contractor - Compensation Negotiable
- State/Province Maryland
- Country United States
- Work Authorization No Visa Sponsorship Provided. Green Card EAD can also apply
- Background Check/Public Trust Clearance US Public Trust Clearance
- Job Opening J
PLEASE
NOTE:
- Itis 100% onsite position in Woodlawn, MD.
- Candidate should be local and ready to work on onsite 5 days a week at Client HQ in Woodlawn, MD.
- Candidate must be able to obtain and maintain a public trust clearance
- Interviews will be scheduled quickly for early next week. There will only be one round of interview
Position
Description:
- Hands on experience in Python, NLPframeworks, SQL, Pandas, NLTK, SPACy and LLMs
- 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 forNLP 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 onAWS
- 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:
- Solid
Experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy. - Experience with Generative AI and Large Language Models (LLM)
Skills Requirements:
Basic
Qualification:
- Master's and 10+ years of experience,Bachelor's and 12+ years of experience or 18+ years in lieu of a degree
- Bachelor’s degree in Statistics, Applied Mathematics, Computer Science, or Information Science with industry experience on Python, NLP frameworks, SQL, Pandas, NLTK and SPACy, data science, andAI/ML/LLM engineering.
- Overall 10+ years’ experience in IT industry
Required Skills:
- Solid Experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK and SPACy.
- Experience with Generative AI and Large Language Models (LLM)
- Evidence of true self-starter and operating independently.
- Fluency in Python Programming, version control and collaboration with GIT, standard Python packages (ex. Pandas,numpy, matplotlib) and ML frameworks
- Knowledge of Tensor Flow, 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 Dev Ops, 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 ofreal-world data.
- Experience retrieving and manipulating datafrom a variety of data sources included DB2, Oracle, SQL Server, Hadoop andflat 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…
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