Senior Ai Ml Data Scientist Apply
Senior AI/ML Data Scientist
Labor Category: Data Engineer (Expert)
Labor Category: Data Engineer (Expert)
Vendor Note: Selected candidate must reside within two (2) hours of SSA Headquarters in Woodlawn, MD. Selected candidate must be willing to work on-site at least 2 days a week.
Key Required Skills:
Strong knowledge of AI/ML/LLM, Python, NLP, Generative AI and experience with clinical Domain.
Strong knowledge of AI/ML/LLM, Python, NLP, Generative AI and experience with clinical Domain.
Position Description:
Staying updated on the new methods in NLP, ML and Generative AI.
Understanding real world challenges and developing automated data solutions
Staying updated on the new methods in NLP, ML and Generative AI.
Understanding real world challenges and developing automated data solutions
Developing, testing, and deploying new techniques for NLP understanding
Scalable development/deployment of ML and Generative AI approaches (such as Large Language Models (LLMs)
Training and optimizing NLP/LLM models and creating Python based pipeline.
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.
Scalable development/deployment of ML and Generative AI approaches (such as Large Language Models (LLMs)
Training and optimizing NLP/LLM models and creating Python based pipeline.
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.
Skills Requirements:
FOUNDATION FOR SUCCESS (Basic Qualifications)
Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with industry experience on NLP, data science, AI/ML/LLM engineering.
Minimum 8 Year (s) of Data Scientist experience
Must be able to obtain and maintain a Public Trust. Contract requirement.
FOUNDATION FOR SUCCESS (Basic Qualifications)
Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with industry experience on NLP, data science, AI/ML/LLM engineering.
Minimum 8 Year (s) of Data Scientist experience
Must be able to obtain and maintain a Public Trust. Contract requirement.
FACTORS TO HELP YOU SHINE (Required Skills)
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, 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 machine learning 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 (like spacy, langchain), text annotation tools and semantic frameworks.
Experience with statistical and machine learning software such as pandas and scikit-learn.
Prior experience working on applications that relates to clinical domain.
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., MySQL, SQLite, SQL, etc.
Either experience with, or the ability and willingness to learn distributed processing via the Hadoop ecosystem, i.e., Spark, Impala and Hive.
Excellent analytical skills to identify potential risks and propose effective solutions.
Clear communication skills to convey complex technical concepts to various partners.
Ability to collaborate with cross-functional teams.
Providing problem solving skills, proven communication in written and verbal formats to various audiences to include executive leadership.
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, 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 machine learning 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 (like spacy, langchain), text annotation tools and semantic frameworks.
Experience with statistical and machine learning software such as pandas and scikit-learn.
Prior experience working on applications that relates to clinical domain.
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., MySQL, SQLite, SQL, etc.
Either experience with, or the ability and willingness to learn distributed processing via the Hadoop ecosystem, i.e., Spark, Impala and Hive.
Excellent analytical skills to identify potential risks and propose effective solutions.
Clear communication skills to convey complex technical concepts to various partners.
Ability to collaborate with cross-functional teams.
Providing problem solving skills, proven communication in written and verbal formats to various audiences to include executive leadership.
HOW TO STAND OUT FROM THE CROWD (Desired Skills)
Showcase your knowledge of modern development through the following experience or skills:
Prior experience with federal or state governments IT projects.
Prior experience working on applications that relates to clinical domain.
Experience working in an analytical research environment.
Experience with statistical and machine learning software such as pandas and scikit-learn.
Experience in parallel processing such as GPU programming with CUDA
Mathematica
Experience using markup languages such as LaTeX, HTML, etc.
Natural Language Processing for anomaly detection
Showcase your knowledge of modern development through the following experience or skills:
Prior experience with federal or state governments IT projects.
Prior experience working on applications that relates to clinical domain.
Experience working in an analytical research environment.
Experience with statistical and machine learning software such as pandas and scikit-learn.
Experience in parallel processing such as GPU programming with CUDA
Mathematica
Experience using markup languages such as LaTeX, HTML, etc.
Natural Language Processing for anomaly detection
Education:
Bachelor's degree with 12+ years of experience
Must be able to obtain and maintain a Public Trust. Contract requirement.
Bachelor's degree with 12+ years of experience
Must be able to obtain and maintain a Public Trust. Contract requirement.
ABOUT THE COMPANY
Headquartered in Leesburg, Virginia, Zenius Corporation is a HUBZone-certified small business. Zenius specializes in providing Grants Management, IT Modernization, Acquisition Management, and Financial Management services to Federal agencies. Zenius is selected by Inc 5000 as one of the fastest-growing companies in the US 2024 and in the DC Metro Area award for two years in a row 2021 and 2020. Zenius is also listed by Financial Times as one of the fastest-growing companies in the Americas in 2021. Zenius is an awardee of 2019 Best of Leesburg winner (Business Management Consultant category).
Headquartered in Leesburg, Virginia, Zenius Corporation is a HUBZone-certified small business. Zenius specializes in providing Grants Management, IT Modernization, Acquisition Management, and Financial Management services to Federal agencies. Zenius is selected by Inc 5000 as one of the fastest-growing companies in the US 2024 and in the DC Metro Area award for two years in a row 2021 and 2020. Zenius is also listed by Financial Times as one of the fastest-growing companies in the Americas in 2021. Zenius is an awardee of 2019 Best of Leesburg winner (Business Management Consultant category).
BENEFITS
Zenius Corporation is a very employee-oriented company. Join us now and help us grow!
We offer a competitive benefits package that includes paid holidays and paid time off, medical insurance including health, vision, dental insurance, 401K matching, Flexible Spending Account and flexible schedules, as per business needs. We also work with our employees on training and professional certification plans that benefit the employee.
Zenius Corporation is a very employee-oriented company. Join us now and help us grow!
We offer a competitive benefits package that includes paid holidays and paid time off, medical insurance including health, vision, dental insurance, 401K matching, Flexible Spending Account and flexible schedules, as per business needs. We also work with our employees on training and professional certification plans that benefit the employee.
EQUAL OPPORTUNITY EMPLOYER:
Zenius Corporation provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws. Zenius complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Zenius Corporation expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
Zenius Corporation provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws. Zenius complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Zenius Corporation expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.