Python AI/ML Protype Developer - Senior - FULLY CLEARED with POL with Security Clearance

Constellation Technologies, Inc; Fort Meade (SD); On-site; USD 175,000 - 212,000; Full time

Benefits offered by this job

Healthcare options

Dental insurance

Vision insurance

Life insurance

Disability insurance

Training reimbursement

AWS training

Technology stipend

401(k) with match

Paid time off

Team events

Mentorship

Job summary

Constellation Technologies, Inc. is seeking a highly skilled professional with 8+ years of direct experience in ML model development and integration.

The role requires US citizenship and an active TS/SCI clearance with a polygraph, a BS in CS or related field, and proficiency in Python, R, TensorFlow, PyTorch, and Jupyter Notebooks. The position involves collaborating with customers, data wrangling, DB administration, and cutting-edge model tuning, with emphasis on diverse architectures and data

Qualifications

• Must be a US Citizen.
• Must have TS/SCI clearance w/ active polygraph.
• At least eight (08) years of direct/relevant experience.
• Bachelor's degree in computer science or related discipline from an accredited college or university is required.
• Four (04) years of additional relevant experience on projects with similar processes may be substituted for a bachelor's degree.
• Collaborate closely with customers to enable acceleration to evaluate and tune machine learning models ability to integrate, reference, make inferences and consolidate data into a holistic view.
• Creatively write and evolve prototype techniques leveraging diverse architecture and methods. Provide database administration, dataflow engineering, data wrangling, and model development.
• Proficiency with, but not limited to, Python (i.e. SciKit-learn, TensorFlow, PyTorch), R, GIT and experience with Jupyter Notebooks.
• Ability to provide database administration for relational databases and TensorFlow.
• Nice to have: proficiency in augmenting, providing context, and/or fine-tuning large language models for generative tasks using retrieval augmented generation (RAG) and model context protocol (MCP).

Responsibilities

• Collaborate closely with customers to evaluate and tune machine learning models for integration, reference, inference, and holistic data views.
• Develop prototype techniques leveraging diverse architectures and methods.
• Provide database administration, dataflow engineering, data wrangling, and model development.
• Enhance capabilities in large language models using RAG and MCP approaches (nice to have).

Skills

Python

SciKit-learn

TensorFlow

PyTorch

R

GIT

Jupyter Notebooks

Education

Bachelor's degree in computer science or related discipline

4 years of additional relevant experience substituted for a bachelor’s degree

Tools

Relational databases

Job description

Python (i.e. SciKit-learn, TensorFlow, PyTorch), R, GIT and experience with Jupyter Notebooks. Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position.

• Must be a US Citizen.
• Must have TS/SCI clearance w/ active polygraph.
• At least eight (08) years of direct/relevant experience.
• Bachelor's degree in computer science or related discipline from an accredited college or university is required.
• Four (04) years of additional relevant experience on projects with similar processes may be substituted for a bachelor's degree.
• Collaborate closely with customers to enable acceleration to evaluate and tune machine learning models ability to integrate, reference, make inferences and consolidate data into a holistic view.
• Creatively write and evolve prototype techniques leveraging diverse architecture and methods. * Provide database administration, dataflow engineering, data wrangling, and model development.
• Proficiency with, but not limited to, Python (i.e. SciKit-learn, TensorFlow, PyTorch), R, GIT and experience with Jupyter Notebooks. Ability to provide database administration for relational databases and TensorFlow. These Qualifications Would be Nice to Have: * Proficiency in augmenting, providing context, and/or fine-tuning large language models for generative tasks using approaches such as but not limited to , retrieval augmented generation (RAG) and model context protocol (MCP). $175,000 - $212,000 a year The pay range for this job, with multi-levels, is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. The benefits package:
• Affordable healthcare options with 80% employer paid premium PLUS a company-funded HSA
• Comprehensive Dental insurance
• Vision with 80% employer paid premium
• Employer paid Life insurance 100%
• Employer paid Short-term and Long-term disability 100%
• Annual training, continued education, and professional memberships reimbursement
• Unlimited access to Red Hat Enterprise Linux and AWS training and accreditation
• Annual reimbursement for technology i.e. phones, computers, printers, etc.
• 401(k) with company match up to 5% with 100% immediate vesting (after 90 days of employment) The environment and perks:
• Professional development investment and paid time off for training
• Contract and work locations in Maryland, Virginia, Colorado, Texas, Utah, Florida and Hawaii.
• Team building events throughout the year such as Destination Family Events, Holiday Party, Monthly Get-Togethers
• Leadership Team engagement and mentorship
• Performance Recognition Program
• Complimentary branded apparel
• Constellation Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Job applicants can submit questions about CTI's equal employment opportunity policy to [email protected]. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.