Leveraging advances in data science to support challenging analytic problems including information overload, discovery, attribution, tracking, and assessment. Develop an evolving suite of operational prototypes driven by state-of-the-art data science techniques for behavioral, geo-temporal, social, and content analysis against full-scale collection in robust, flexible, and multi-tenant cloud environments. Research to advance the science of machine learning and statistics in mission problems.

Task Order Required Skills:

• Minimum 1 year hands-on MLOps experience, including fine-tuning and operationalizing small ML models
• Python
• Python libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Pytorch, Keras, spaCy, GLiNER)
• Java
• JavaScript
• Angular
• React
• Docker
• Kubernetes
• AWS
• Bash
• Databases - Postgres, neo4j, click-house, accumulo, mongo-db, sql-lite, duckDB
• Operating Systems - Linux (RHEL 8), Windows
• Experience working with LLMs

Task Order Desired Skills:

• Experience with Claude Sonnet 4
• Ability to write code with dynamic prompts using OpenAI Chat Completions API

Qualifications

• An active TS/SCI with polygraph is required.
• Within the last ten (10) years, a minimum of seven (7) years experience combined programming with all of the following languages: Java, C++, or Python
• Within the last seven (7) years, a minimum of five (5) years experience designing and developing applications in a Windows or UNIX/Linux operating environment
• Within the last three (3) years, a minimum of one (1) year of experience using database technologies such as Apache Accumulo, MongoDB, ScyllaDB, Google Cloud Bigtable, Amazon DynamoDB, Azure Cosmos DB, Postgres, or equivalent technologies.
• Within the last three (3) years, a minimum of one (1) year of experience using distributed batch- or stream-processing solutions such as Ray, Apache Spark, Apache Flink, Apache Beam, Databricks, cloud-native data-processing services, or equivalent technologies.
• Within the last three (3) years, a minimum of one (1) year of experience using distributed file or object storage systems such as HDFS, Amazon S3, Azure Data Lake Storage, Google Cloud Storage, or equivalent technologies.
• Within the last three (3) years, a minimum of one (1) year experience with requirements analysis and design for one (1) or more object-oriented systems
• Within the past two (2) years, six (6) months development experience with Kubernetes, Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Computing Services
• A bachelor's degree in computer science or related discipline; an associate's degree in computer science or related discipline and two (2) years programming experience or five (5) years programming experience may be substituted for a bachelor's degree

Offering the very best compensation packages and the flexibility to let our employees decide what's most important to them. No vesting schedule, no annual requirements for perks - we believe you should have the freedom to choose the benefits that work best in your life.

Employee Freedom of Choice
Our focus is on people first. We offer comprehensive and flexible compensation packages that match the best the industry has to offer and can be customized to fit your needs.

Our Benefits:

• 100% company-paid health, dental, and vision premiums
• Automatic company contributed Health Savings Account (HSA) up to $3,900 for families
• Up to 7 weeks of Paid Time Off (PTO)
• Automatic 401k Investment
• Paid 11 Federal Holidays
• BlueCross BlueShield Health Insurance
• Tuition/Training Reimbursement
• Access to Ravens season tickets in club level
• Company-paid golf events for your time and course fees

The projected compensation range for this position is $200K - $275K. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location, education and certifications as well as Federal Government Contract Labor categories.In addition, we invest in our employees beyond just compensation.Our benefit offerings include, dependent upon position, Health Insurance, Dental and Vision Coverage, Health Savings Account (HSA), Paid Time Off, Holiday Pay, Short Term and Long Term Disability, Life Insurance, 401(k) Plan, Safe Harbor 401k Investment, Learning and Development opportunities, Referral Bonuses and Flex Time.