AIML Data Scientist

Kegman, Inc.; Melbourne (FL); On-site; USD 150,000 - 190,000; Full time

Job summary

Kegman Inc. seeks a Senior Computer Scientist (AI/ML) to lead architecture, development, and testing of advanced AI/ML methodologies for processing regional geophysical sensor data at Patrick Space Force Base, Melbourne, FL. This is a non-remote, on-site role supporting U.S. Government clients.

The ideal candidate will drive deep learning solutions, mentor engineers, and advise executives on strategic development, with an active U.S. government security clearance and U.S. citizenship required.

Qualifications

• Familiarity with Git version control is required.
• Proficient in signal processing of advanced waveforms (seismic, acoustic, electromagnetic, etc.).
• Expert proficiency with Python in production environments.

Responsibilities

• Lead architecture and development of generalized AI/ML algorithms for regional geophysical sensors.
• Architect, develop and evaluate Python code for detecting regional signal arrivals using deep networks.
• Build automated training pipelines and monitor model drift with retraining strategies.
• Serve as primary technical advisor to executives, briefing on architecture, risks, and opportunities.
• Mentor and guide junior engineers in AI/ML best practices and data processing.

Skills

Python

Git

Signal processing

Deep learning

Time-series

AI/ML

Mentoring

Client briefing

Agile/Scrum

Geophysical data

Education

Bachelor's degree + 8+ yrs

Master's degree + 6+ yrs

PhD + 3+ yrs

Tools

PyTorch

Scikit-learn

TensorFlow

Keras

Jupyter

Anaconda

Job description

Kegman Inc. is a Women Owned/Service-Disabled Veteran-Owned Small Business headquartered in Melbourne, FL and provides engineering and technical support services to U.S. Government clients. We are seeking a Senior Computer Scientist (AI/ML) to join the team supporting the Air Force Technical Applications Center at Patrick Space Force Base in Melbourne, Florida.

NOTE: This is not a remote/telework job.

This job requires the selected applicant to have an active U.S. Government-issued security clearance at time of hire and, therefore, requires U.S. citizenship.

Kegman is seeking a skilled the Senior Computer Scientist will lead the architecture, development, and testing of state-of-the-art Artificial Intelligence/Machine Learning (AI/ML) methodologies supporting the U.S. Government customer’s mission. Specifically, the contractor will direct efforts to design and deploy an advanced suite of deep learning algorithms for processing regional geophysical sensor data, including seismic, acoustic, hydro-acoustic, and infrasound sensors.

Responsibilities

• Lead Advisory and Assistance services for the architectural design and development of generalized phase picker and generalized regional associator algorithms.
• Architect, develop, configure, and evaluate advanced Python code for the detection of regional signal arrivals using deep neural network architectures and AIML Python libraries (PyTorch, Sklearn, Tensorflow/keras..etc)
• Building automated training pipelines, monitoring for model drift, and implementing retraining strategies
• Serve as the primary technical advisor to executive and senior clients, briefing them on strategic development efforts, emerging technologies, system architecture, risk mitigation, and mission opportunities.
• Mentor and provide technical direction to junior and mid-level engineers in AI/ML best practices and geophysical data processing.

Basic Qualifications

• Familiarity with Git version control software is required
• Proficient in signal processing of advanced waveforms toinclude seismic, acoustic, electromagnetic, or similar signals.
• Expert proficiencywith the Python programming language, Anaconda environments, and Jupyter notebooks in a production environment.
• Subject matter expertisein general acoustic theory, particularly regarding local to near-regional seismic phase arrivals, travel times, and association.
• Masteryof deep neural network architectures for complex time-series data processing.
• Extensive experiencewith traditional geophysical signal detection algorithms and the ability to integrate them with modern AI/ML approaches.
• Demonstrated capability to architect solutions leveraging programming, advanced mathematics, data analysis, and data visualization toolkits to drive customer success.
• Proven ability to design and execute advanced statistical analysis on massive, complex datasets.
• Exceptional analytical, problem-solving, organizational, and written/oral communication skills.
• Detail-oriented technical leader capable of directing teams, consistently meeting mission-critical deadlines, and driving projects independently with high autonomy.
• Advanced interpersonal, customer engagement, and technical negotiation skills.
• Demonstrated ability to manage multi-faceted projects and collaborate effectively with a diverse matrix of vendors, executive managers, subcontractors, consultants, and other professionals.
• Highly effective communication skills with company executives, employees, and government stakeholders; must command a room and present complex technical concepts clearly and confidently to both technical and non-technical audiences.
• Familiarity with agile/scrum techniques.

Education

• Bachelor’s Degree and 8+ years of relevant experience; OR
• Master’s Degree and 6+ years of relevant experience; OR
• Ph.D. and 3+ years of relevant experience.

Other:

• U.S. citizenship required.
• Must have a fully adjudicated (not an interim) Government clearance.
• Must pass a drug test.

Kegman Inc. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.

Kegman will abide by the requirements of 41 CFR 60741.5(a). This regulation prohibits discrimination against qualified individuals on the basis of disability and requires affirmative action by covered prime contractors and subcontractors to employ and advance in employment qualified individuals with disabilities.

Please be aware many of our positions require an active security clearance. Security clearances are be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment that requires a security clearance will be subject to government security investigation(s) and must meet and maintain eligibility requirements for access to classified information.

By submitting your résumé for this position, you understand and agree that Kegman may share your résumé, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.

Kegman maintains a drug-free workplace and performs pre-employment substance abuse testing where permitted by law.