The Role
Design, build, train, deploy, and scale NLP and LLM solutions using Python, SQL, and cloud-native AWS tools. Perform advanced data analysis, create production pipelines, optimize models, collaborate with analysts, and support intelligence-focused analytic problems while maintaining strong communication with stakeholders.
Summary Generated by Built In
PLEASE NOTE:
- It is a 100% onsite position.
- Selected candidate must be willing to work on-site in Woodlawn, MD 5 days a week
- Selected candidate must be able to obtain and maintain a public trust clearance.
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)
- Excellent Communication skills
POSITION DESCRIPTIONS:
- Hands on experience in Python, NLP frameworks, 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 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
- Experience building cloud native solutions on AWS
- 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.
Requirements
SKILL 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, and AI/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 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.
- Excellent Communication skills.
- 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 with federal or state governments IT projects.
- Industry experience preferred
- 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
Skills Required
- Master's and 10+ years of experience, Bachelor's and 12+ years, or 18+ years in lieu of a degree
- Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science (or equivalent experience)
- Overall 10+ years' experience in IT industry
- Solid experience with Natural Language Processing (NLP), Python, NLP frameworks, SQL, Pandas, NLTK, and spaCy
- Experience with Generative AI and Large Language Models (LLMs)
- Fluency in Python programming; version control with Git; standard Python packages (pandas, numpy, matplotlib); ML frameworks
- Knowledge of TensorFlow, PyTorch, and scikit-learn; experience with AWS EC2
- Knowledge of Azure ML
- Experience with scalable data engineering frameworks such as Apache Spark and orchestration frameworks such as Airflow, or experience with semantic search
- Expert knowledge in data analysis and applying advanced statistical concepts and ML methods
- Experience with ML model deployment and operations (DevOps, MLOps, LLMOps)
- Experience with NLP and Generative AI libraries/tools including regular expressions, LangChain, text annotation tools, and semantic frameworks
- Ability to clean and process large amounts of real-world data
- Experience retrieving and manipulating data from DB2, Oracle, SQL Server, Hadoop, and flat files
- Experience with database management systems (PostgreSQL, MySQL, SQLite, SQL)
- Excellent communication, analytical, and problem-solving skills; ability to collaborate with cross-functional teams and communicate to executive leadership
- Willingness to work onsite in Woodlawn, MD 5 days per week
- Must be able to obtain and maintain a public trust clearance
- Prior experience with federal or state government IT projects
- Industry experience
- Experience with GPU programming (CUDA)
- Experience with Mathematica
- Experience using markup languages such as LaTeX and HTML
- Experience with NLP for anomaly detection
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The Company
What We Do
Omm IT Solutions is a leading provider of IT consulting, analysis, and advisory services, specializing in delivering technical solutions for federal and state government agencies. Their offerings include application development, cybersecurity services, cloud advisory, network modernization, and data analytics.
