Senior Data Scientist

Hiring – Senior Data Scientist - Immediate interview and hire req Woodlawn, Maryland (100% Onsite) - Candidates willing to relocate and work onsite are welcome to apply 🔹 Top Skills Required ✔️ 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 🔹 Key Responsibilities • 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 🔹 Technical Expertise • 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.