Description

Role:Senior Data Scientist
Location : MD Local only
Visa : H1B only
interview : 2nd round face to face

We are seeking an experienced Senior Data Scientist with strong expertise in NLP, Generative AI, and Large Language Models (LLMs). The ideal candidate will have hands-on experience in Python, SQL, Pandas, NLTK, spaCy, and ML frameworks, along with the ability to build scalable AI/ML solutions on AWS.

Key Responsibilities:
Design, develop, and deploy NLP and Generative AI solutions using Python and LLM frameworks.
Build scalable ML pipelines and cloud-native AI applications.
Analyze large and complex datasets to identify trends and actionable insights.
Train, optimize, and evaluate machine learning and NLP models.
Collaborate with cross-functional teams to solve complex data and analytics challenges.
Support MLOps/LLMOps practices for model deployment and monitoring.

Required Skills:
Strong experience with Python, SQL, NLP frameworks, Pandas, NLTK, and spaCy.
Experience with Generative AI, LLMs, TensorFlow/PyTorch, and semantic search.
Knowledge of AWS cloud services and scalable data engineering tools such as Spark and Airflow.
Strong analytical, problem-solving, and communication skills.
Experience with ML model deployment, DevOps, and MLOps practices.

Qualifications:
Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Information Science, or related field.
10+ years of IT industry experience in Data Science, AI/ML, and NLP engineering.
Ability to work independently in a fast-paced environment.

Preferred:
Experience with federal/state government projects.
Exposure to Hadoop ecosystem, GPU programming, or research environments.
Familiarity with LaTeX, HTML, or anomaly detection use cases.

Key Skills

Education

Not specified