Data Science & AI Platform Engineer
100% Remote
T-Rex Solutions is looking to select an experienced Data Science & AI Platform Engineer to build and maintain a secure, monitored, cloud-hosted production laboratory in support of our US Department of Treasury customer. The laboratory will be used by data science teams to create analytics for insights and AI/ML models for deployment in a high-stakes production environment.
Responsibilities:
- Develop and maintain a data exploration and feature engineering pipeline to enable data readiness for modeling within a secure and compliant infrastructure.
- Implement and manage Databricks, JupyterHub, and other modern tools for exploratory data analysis, AI design, model development, and training.
- Integrate tools with TCloud Bitbucket for version control and collaboration.
- Configure AWS S3 buckets for Feature Store, ensuring compliance with IRS UNAX rules and separate security contexts for different teams.
- Establish and maintain a model development pipeline utilizing MLflow for experiment tracking and model registry.
- Create AWS Lambda functions and implement AWS Flow for efficient model artifact storage and metadata management.
- Integrate with AWS RDS for robust data management and retrieval.
- Configure SNS notifications for model promotion workflows.
- Support data science teams in adhering to Responsible AI Principles via the implementation of the Responsible AI Toolbox.
Requirements:
- Must be a US Citizen with the ability to obtain a Public Trust clearance
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field and 7 years experience.
- Proven experience with cloud services, particularly AWS (S3, Lambda, RDS, SNS, etc.).
- Expertise in setting up and managing data science environments with tools such as Databricks, JupyterHub, MLflow, and Bitbucket.
- Strong proficiency in programming languages and tools such as SQL, Python, R, and Spark.
- Familiarity with machine learning frameworks and libraries.
- Deep understanding of data security and privacy, especially in compliance with IRS standards.
- Experience with CI/CD pipelines and infrastructure as code.
- Excellent communication skills and the ability to collaborate with cross-functional teams.
Desired:
- Active Treasury clearance preferred
- Previous experience working in a regulated environment, particularly within government agencies like the IRS.
- Certifications related to AWS or cloud architecture.
- Knowledge of Responsible AI practices and principles..
T-Rex Overview
Established in 1999, T-Rex Solutions, LLC is a proven mid-tier business providing data-centric mission services to the Federal government as it increasingly tries to secure and leverage the power of data. We design, integrate, secure, and deploy advanced technical solutions for our customers so they can efficiently fulfill their critical objectives. T-Rex offers both IT and professional services to numerous Federal agencies and is a leader in providing high quality and innovative solutions in the areas of Cloud and Infrastructure Services, Cyber Security, and Big Data Engineering.
T-Rex is constantly seeking qualified people to join our growing team. We have built a broad client base through our devotion to delivering quality products and customer service, and to do that we need quality individuals. But more than that, we at T-Rex are committed to creating a culture that supports the development of every employee's personal and professional lives. T-Rex has made a commitment to maintain the status of an industry leader in compensation packages and benefits which includes competitive salaries, performance bonuses, training and educational reimbursement, Transamerica 401(k) and Cigna healthcare benefits.
T-Rex is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors.
In compliance with pay transparency guidelines, the annual base salary range for this position is $125,000 - $160,000. Please note that the salary information is a general guideline only. T-Rex considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, internal peer equity, as well as market and business considerations when extending an offer.
T-Rex offers a diverse and collaborative work environment, exciting opportunities for professional growth, and generous benefits, including: PTO available to use immediately upon joining (prorated based on start date), paid parental leave, individual and family health, vision, and dental benefits, annual budget for training, professional development and tuition reimbursement, and a 401(k) plan with company match fully vested after 60 days of employment among other benefits.
ApplyJob Profile
RestrictionsAbility to obtain public trust clearance Must be a U.S. Citizen
Benefits/Perks100% Remote 401(k) Collaborative work environment Competitive salaries Educational reimbursement Fully remote Healthcare Benefits Innovative solutions Performance bonuses Professional development Training reimbursement
Tasks- Build and maintain cloud-hosted production laboratory
- Configure AWS S3 buckets
- Create AWS Lambda functions
- Develop data exploration and feature engineering pipeline
- Establish model development pipeline
- Implement and manage data science tools
- Integrate tools with version control
- Support data science teams
AI AWS AWS Lambda Bitbucket CI/CD Cloud Architecture Cloud Services Communication Data analysis Databricks Data engineering Data privacy Data Science Data Security Infrastructure as Code JupyterHub Lambda Machine Learning ML MLFlow Programming Python R RDS Responsible AI S3 SNS Spark SQL
Experience7 years
EducationBachelor's Computer Science Data Science Engineering Master's Related Field
Certifications