Contractor Support to Capability Lifecycle AI-ML Engineer

Contractor Support to Capability Lifecycle AI-ML Engineer

DEFTEC delivers mission-critical solutions through skillfully delivered services and innovative products. We are inspired by our clients critical missions and driven to provide the most effective solutions to execute their missions operational challenges and requirements. Our dedicated experienced and talented employees work closely with our clients to ensure the delivery of exceptional services and products.

POSITION OVERVIEW

This position provides specialized contractor support to the Capability Development Directorate at Headquarters Allied Command Transformation (HQ SACT) focusing on the integration of Artificial Intelligence (AI) and Machine Learning (ML) solutions across the capability lifecycle. The role is responsible for developing and implementing advanced data-driven models and analytics to enhance NATOs capability planning prioritization and decision-making processes. Working closely with the CAPDEV Data and Analytics Office (DAO) the AI/ML Engineer will design and optimize algorithms for requirements analysis capability forecasting and performance assessment ensuring alignment with NATOs strategic objectives. Additional responsibilities include supporting data governance enabling self-service analytics and contributing to the modernization of capability development through innovative AI/ML applications that improve interoperability deployability and sustainability of Alliance forces.

JOB RESPONSIBILITIES

• Al/ML Model Development: Design develop train and deploy machine learning models to support forecasting risk identification readiness assessment and decision support across the capability lifecycle.
• Advanced Analytics Integration: Integrate Al/ML models into enterprise analytics workflows dashboards and reporting solutions to enable operational use by analysts and decisionmakers.
• Data Preparation and Feature Engineering: Develop and maintain data preparation pipelines feature engineering processes and training datasets in coordination with data engineering teams to ensure model accuracy robustness and traceability.
• Cloud-Based Al/ML Engineering: Implement and operate Al/ML solutions within approved cloud environments including model training deployment and orchestration using secure scalable architectures.
• Model Lifecycle Management: Establish and execute model validation performance monitoring retraining and version control processes to ensure sustained accuracy and operational relevance of deployed models.
• Responsible Al Practices: Apply responsible and explainable Al principles including transparency bias awareness and interpretability appropriate to defense and decision support contexts.
• Automation and Optimization: Identify and implement opportunities to automate analytic workflows model execution and data processing to improve efficiency and reduce manual intervention.
• Prototyping and Experimentation: Design and deliver proof-of-concept and prototype Al/ML solutions including exploration of emerging techniques (e.g. large language models or incremental learning) aligned with DAO priorities.
• Performance and Scalability Optimization: Optimize Al/ML pipelines and supporting infrastructure to ensure reliable performance under operational workloads and evolving data volumes.
• Technical Documentation: Produce and maintain comprehensive technical documentation describing Al/ML models data dependencies assumptions limitations and operational integration points.
• Stakeholder Engagement: Collaborate with analysts engineers and stakeholders to translate operational requirements into Al/ML solutions and explain analytic outputs to technical and non-technical audiences.
• Knowledge Transfer: Deliver knowledge transfer mentoring and technical guidance to DAO personnel to support long-term sustainment of Al/ML capabilities.
• Security and Compliance: Ensure Al/ML development and deployment comply with NATO and organizational security data protection and classification handling requirements.
• Capability Lifecycle Support: Apply Al/ML expertise to support requirements-based planning capability development delivery monitoring and performance assessment activities.
• Continuous Improvement: Identify opportunities to enhance Al/ML methods tooling and practices in alignment with DAOs Decision Advantage objectives.
• Technical Support: Provide ongoing technical support and troubleshooting for Al/ML models pipelines and integrated analytic solutions.
• Additional Tasks: Perform additional tasks as required by the COTR in scope of this labor category.

REQUIRED QUALIFICATIONS

• 8 years of progressive professional experience in data science advanced analytics and/or machine learning engineering including experience delivering operational analytics or decision-support solutions in complex enterprise environments.
• Demonstrated expertise in machine learning and statistical modeling including development training validation and deployment of models supporting forecasting risk analysis performance assessment or decision support across business or capability lifecycles.
• Demonstrated experience designing and operating automated data pipelines including ETL/ELT workflows feature engineering and data transformation processes to support analytics and Al/ML workloads.
• Demonstrated professional experience with cloud-based analytics and Al/ML platforms including deployment and operation of models and data pipelines in secure scalable cloud envi ran men ts.
• Bachelors degree in Data Science Computer Science Mathematics Engineering Statistics or a related quantitative discipline.
• Demonstrated experience integrating Al/ML solutions into enterprise analytics tools dashboards or reporting platforms to support operational use by analysts and decisionmakers.
• Demonstrated experience with model lifecycle management including performance monitoring retraining strategies version control documentation and optimization for production environments.
• Demonstrated experience working within governed or regulated environments including adherence to data governance security and compliance requirements relevant to defense security or other highly regulated domains.
• Demonstrated ability to col la borate across multidisciplinary teams including analysts data engineers platform engineers and system administrators to deliver interoperable production-ready analytics solutions.
• Demonstrated ability to communicate complex analytical and Al/ML concepts clearly to both technical and non-technical stakeholders supporting effective adoption and operational use of delivered solutions. Demonstrated minimum NATO or National SECRET clearance with the appropriate national authority for the duration of the contract.
• Demonstrated proficiency in English as defined in STANAG 6001 (Standardized Linguistic Profile (SLP) 3333 - Listening Speaking Reading and Writing) or equivalent.
• Demonstrable proficiency in effective oral and written communication including briefing and coordinating with business stakeholders.

DEFTEC offers a comprehensive whole-life benefits package that includes medical dental vision holiday paid time off 401K with a match life insurance short/long-term disability and educational reimbursement. The DEFTEC team comprises professionals who make a difference daily in crucial national security missions. Our leadership knows that this happens by employing a diverse team that is well cared for. Our top priority is our employees making DEFTEC an ideal workplace.

Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Please get in touch with if you require reasonable accommodations.

DEFTEC is a Drug-Free Workplace where post-offer applicants and employees are subject to testing for marijuana cocaine opioids amphetamines PCP and alcohol when criteria are met as outlined in our policies.

AAP/EEO STATEMENT

DEFTEC Corp is an Equal Opportunity and Affirmative Action Employer and prohibits discrimination and harassment of any typebased on actual or perceived race color national origin ancestry sex (including pregnancy childbirth breastfeedingand medical conditions related to pregnancy childbirth or breastfeeding)gender gender identity and gender expression religious creeddisability (mental and physical) including HIV and AIDS medical condition (cancer and genetic characteristics ) genetic information age marital status civil union status sexual orientation military and veteran status denial of family and medical care leave arrest record and/or any other characteristic(s) protected by federal state or local law.

This policy applies to all terms of employment includingrecruiting hiring placement promotion termination layoff recall transfer leaves of absence training compensation benefits employee activities and general treatment during employment.

OTHER DUTIES

Please note that this job description is not designed to cover or contain a comprehensive listing of the activities duties or responsibilities that are required of the employee for this job. Duties responsibilities and activities may change at any time with or without notice.

Required Experience:

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