Amazon Computer Science Jobs in Maryland (NOW HIRING)

Job Description 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. CSWE Qualifications (Exceptions made on case-to-case basis): * 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 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 Desired Skills * Experience with Claude Sonnet 4
* Ability to write code with dynamic prompts using OpenAI Chat Completions API Additional Details This Position requires a TS/SCI clearance with an NSA FS Poly. Company Overview: Vetegrity is an employee-focused small business, founded in 2008. We are passionate about supporting the missions of the Intelligence Community and the Department of Defense. As a Service-Disabled, Veteran-Owned Small Business, we pride ourselves on our commitment to excellence and integrity in everything we do. We offer competitive compensation and benefits to include: - Medical/Dental/Vision - Flexible PTO Packages with 20+ days of PTO & All Federal Holidays - 401k with Employer Match - Profit Sharing - Tuition Reimbursement - Flex Spending Account - Life Insurance, Long & Short-Term Disability - Pet Adoption Reimbursement - Annual Physical Fitness/Wellness Allowance - Supplemental Insurance - Employee Referral Program - Performance Incentives - On-The-Spot Rewards - Other company-sponsored perks include after-hours events, logo apparel, holiday parties, and more! Vetegrity provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.