AI/ML Engineer

At INflow Federal, we're not just navigating the frontier of digital transformation; we're reshaping it. Our dedication to merging the prowess of humans and machines to solve complex problems has set us apart in designing and engineering solutions for the Department of Defense (DoD) networks. Here, every challenge is an opportunity to advance, and every solution is a step towards a more secure and connected future. We look forward to welcoming you to the INflow team!

ABOUT THIS POSITION:

AI/ML Engineers at INflow Federal are at the heart of our mission to empower DoD customers with cutting-edge data-driven solutions. Your expertise will not only pave the way for innovative data management and infrastructure but also drive our commitment to data modernization and cyber resilience. This role is a unique blend of technical mastery and strategic foresight, designed for those who dare to transform data into actionable insights and groundbreaking solutions.

Here, your work is more than a job—it's a journey in innovation. With opportunities to work on high-impact projects, access to the latest technologies, and a culture that thrives on creativity and collaboration, INflow Federal is where your expertise can truly make a difference.

Use machine learning and analytical techniques to create scalable solutions for business problems. Drive real-time model implementations and new feature creations as part of the DoD team. Establish scalable, efficient, and automated processes for large-scale data analyses, model development, model validation, and model implementation. Collaborate with data engineers, data scientists, and infrastructure engineers to develop, deploy, and model pipelines, applying ML and data science techniques in designing distributed and large-scale processing systems. Coordinate science and technology research and development (R&D) outreach and engagement efforts to help advance sensitive ML capability development efforts via technical leadership of external ML contracts. Write production-level, reusable, and easy-to-interpret code in R, Python (required), Java, C++, or other languages, while engaging in collaborative code reviews and providing technical feedback to improve existing ML model performance.

• Build advanced AI/ML models to integrate with existing architecture and framework.
• Deliver algorithms for predictive analytics, prescriptive analytics, forecasting, and free text query in an AI/ML Decision Support Tool.
• Utilize machine learning algorithms and deep learning neural networks to integrate with Command Common Operating Picture data repository, enabling logisticians’ decision-making in near real-time.
• Provide visual displays of advanced analytic data to a geographic model/map and dashboards, supporting free text query capabilities.
• Develop specialized AI models correlating with various logistics datasets to meet desired objectives.
• Build predictive models using vast volumes of data.
• Have an in-depth knowledge of machine learning algorithms, deep learning algorithms, and frameworks.
• Work with Command Staff to ensure AI/ML workflows include Cyber, Knowledge, and Information Management disciplines to enable the Decision-Making Process.
• Build data ingestion and data transformation infrastructure to interface with the data repository application program interfaces (API).
• Develop AI/ML models to enterprise standards for data sharing with joint enterprise systems.

• Minimum of 5 years of experience in a combination of data science, machine learning, artificial intelligence, or a related field.
• Proven experience in developing, deploying, and implementing ML models and algorithms in a production environment.
• Experience with large-scale data analysis, model development, validation, and implementation.
• Technical Skills:
• Proficiency in programming languages such as Python (required), R, Java, and C++.
• Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Keras).
• Experience with data processing and analysis tools (e.g., Pandas, NumPy, Scikit-learn).
• Familiarity with deep learning techniques and neural networks.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for ML model deployment.
• Knowledge of data ingestion and transformation techniques.
• Proficiency in developing APIs for data sharing and integration.

• Certified Machine Learning Professional (CMLP) by IABAC (International Association of Business Analytics Certification)
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• Microsoft Certified: Azure Solutions Architect Expert
• CompTIA Security+

• Active DoD Top Secret

About Us

Founded in 2013, INflow Federal has distinguished itself through our exceptional services because of our deep-rooted commitment to our people. The ‘INflow difference’ lies in our profound appreciation of employee culture, fueling an obsession with the well-being and professional growth of our team. This employee-centric ethos has been pivotal to our enduring success, directly translating into significant benefits for our customers.

Our identity is greatly influenced by the contributions of US Military Veterans. INflow’s Veteran Outreach Program, dedicated to recruiting transitioning military personnel, has been a resounding success. Veterans now represent over 50% of our workforce, bringing invaluable experience and insight that have been crucial in steering our customers’ success.

As a dynamic small business at the forefront of innovation, INflow boasts extensive expertise in Network Modernization, Cybersecurity, and Data Modernization in support of Joint Force Mission Operations. Our reach extends to over 20 states, serving prestigious federal government clients including the United States Navy (USN), United States Marine Corps (USMC), and Joint Forces.

In our quest to simplify the customer experience, we embrace a collaborative approach, guided by our leadership’s transparent communication and unwavering commitment to integrity. Our customers value partnering with INflow for our agility, passion, and integrity.

Fueling INflow’s continuous evolution is our voracious appetite for researching and integrating AI/ML technologies. We are committed to empowering our employees and customers with these emerging tools, enhancing their ability to effectively integrate these technologies into their workflows. This not only improves their operational efficiency but also deepens their understanding of AI/ML’s transformative potential.

As we progress, our focus remains steadfast on developing our people so they can  lead our customers into the future of mission systems and operations, adeptly navigating the ever-evolving landscape of the Department of Defense with innovative solutions and strategic insights.

Citizenship Requirements

INflow Federal is a defense contractor. Due to legal requirements, candidates must be US Citizens to be considered for employment.

Other Notes

- Some travel may be required: Must have valid driver’s license and transportation. This is subject to change at the direction of the customer.

Other:

- Candidate must have the ability to lift up to 50 lbs.

Must have willingness to perform duties not listed in the job description as required by INflow and our customer.

Equal Opportunity Employer

Diversity and Inclusion

INflow provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This commitment applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, leaves of absence, compensation, and training. Job applicants and employees are evaluated solely on job-related qualifications and experience.