Senior AI/ML Data Scientists en Advanced Network Consulting Inc

Description

 Must be on-site five days a week in Woodlawn, MD 

 Strong knowledge of AI/ML/LLM, RAG, SQL, Python, NLP, AWS, Generative AI. 

? Hands on experience in Python, RAG, NLP, ML and Generative AI

? 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.

? Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with industry experience on RAG LLM, Python, NLP, data science, AI/ML/LLM engineering.

? Overall 10+ years' experience in IT industry

? Must be able to obtain and maintain a Public Trust. Contract requirement.

These skills will help you succeed in this position:

? Experience with Natural Language Processing (NLP), Generative AI and Large Language Models (LLM)

? 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.

? Experience with database management systems (e.g., PostgresSQL, MySQL, SQLite, SQL, etc.)

? Excellent analytical skills to identify potential risks and propose effective solutions.