Senior Data Scientist

• Design, develop, and deploy NLP and Generative AI solutions

• Build scalable Python pipelines for NLP, LLMs, and machine learning workflows

• Train, evaluate, and optimize supervised and unsupervised ML models

• Analyze transactional and enterprise data to deliver actionable insights

• Develop cloud-native AI/ML solutions on AWS

• Collaborate with cross-functional teams to solve complex business and data challenges

• Implement MLOps and LLMOps best practices for production AI systems

️ Python, NLP, NLTK & spaCy

️ Generative AI & Large Language Models (LLMs)

️ AWS, SQL & MLOps

Required Experience

• 10+ years of IT experience in Data Science, AI/ML, or NLP Engineering

• Strong hands-on experience with Python, SQL, Pandas, NLTK, spaCy, and NLP frameworks

• Experience building and deploying Generative AI and Large Language Model (LLM) solutions

• Expertise in ML model development, training, optimization, deployment, and MLOps/LLMOps

• Experience with TensorFlow, PyTorch, scikit-learn, LangChain, and semantic search

• Strong knowledge of Apache Spark, Airflow, and scalable data engineering frameworks

• Experience building cloud-native AI solutions on AWS

• Experience working with large datasets across Oracle, SQL Server, DB2, Hadoop, PostgreSQL, MySQL, or similar databases

• Strong analytical, problem-solving, and communication skills

• Must be able to obtain and maintain a Public Trust Clearance

• Must be willing to work onsite 5 days a week in Woodlawn, MD, * Python

• NLP

• Generative AI

• Large Language Models (LLMs)

• LangChain

• Pandas

• NLTK

• spaCy

• SQL

• TensorFlow

• PyTorch

• Scikit-learn

• Apache Spark

• Airflow

• AWS

• MLOps

• LLMOps

• Semantic Search

• Hadoop

Nice to Have

• Federal or State Government project experience

• GPU Programming (CUDA)

• Hive

• Impala

• Mathematica

• LaTeX

• HTML

• NLP-based Anomaly Detection

️ Candidates must have strong hands-on experience in NLP, Generative AI, LLMs, and Python development. Profiles focused primarily on traditional Data Science or Machine Learning without production NLP/LLM implementation experience will not be considered. Candidates must also be eligible to obtain a Public Trust Clearance and work onsite in Woodlawn, MD.

About Compest Solutions 51-200, Compest Solutions provides IT Managed Services, Staff Augmentation, and Solutions across all Industries including Banking, Financial, Retail. Health Care, Pharmaceutical, Government, Entertainment, Insurance, and Telecommunications.