Senior Computer Scientist (AI/ML)

Kegman Inc; Melbourne (FL); On-site; USD 120,000 - 180,000; Full time

Job summary

Kegman Inc. is seeking a Senior Computer Scientist (AI/ML) to join our team supporting the Air Force at Patrick Space Force Base in Melbourne, FL.

This on-site role directs architecture, development and testing of advanced AI/ML methods for processing geophysical sensor data, with emphasis on deep learning, model training pipelines, and staff mentorship.

Qualifications

• Active U.S. citizenship and ability to obtain security clearance.
• Expert in Python, Anaconda, Jupyter in production environments.
• Experience with geophysical signal processing and AI/ML integration.

Responsibilities

• Lead architecture and development of AI/ML approaches for regional geophysical sensor data.
• Develop and evaluate deep neural networks for detecting regional signal arrivals.
• Mentor engineers and brief executives on system architecture and opportunities.

Skills

Python

Git

Signal processing

Deep learning

AI/ML

Time-series analysis

Communication skills

Agile/Scrum

Project leadership

Education

Bachelor's Degree + 8+ years experience

Master's Degree + 6+ years

PhD + 3+ years

Tools

PyTorch

Scikit-learn

TensorFlow/Keras

Jupyter notebooks

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 to include seismic, acoustic, electromagnetic, or similar signals
• Expert proficiency with the Python programming language, Anaconda environments, and Jupyter notebooks in a production environment
• Subject matter expertise in general acoustic theory, particularly regarding local to near-regional seismic phase arrivals, travel times, and association
• Mastery of deep neural network architectures for complex time-series data processing
• Extensive experience with 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.