Artificial Intelligence Machine Learning Developer

Unissant Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise data acumen and technology know-how to achieve breakthrough results for our clients. Working collaboratively we advance missions and careers through a focus on honesty integrity and dependability. We continuously look for talent excited to join that effort. To learn more about our exciting organization please visit us at .

We are seeking an Artificial Intelligence/Machine Learning Developer to join our team and support our federal customer.

Qualified applicants may be subject to a security investigation and must meet minimum qualifications for access to classified information. This is a highly technical position; individuals will be screened by peers in a technical review of skills and experience.

Essential Duties and Responsibilities:

• Drive a big data approach to execute government requirements to manage prepare analyze and enrich image biometric and related mission data to gather new insights.
• As the AI/ML Developer work as part of a team to provide consultative architectural program and engineering support for a federal customer.
• This is a client-facing position working on-site as per the requirements established by the DHS customer.
• Develop train evaluate fine-tune and deploy advanced AI/ML computer vision deep-learning and GenAI models.
• Design and implement innovative AI solutions to address complex business challenges using techniques such as computer vision image analysis image classification object detection image segmentation image matching facial recognition facial verification biometric analysis natural language processing and large language models.
• Prepare image biometric and related datasets for model development including data extraction cleaning normalization annotation labeling augmentation feature engineering data balancing and training/validation/test-set construction.
• Develop train evaluate and improve image-analysis and computer-vision models used for biometric identity-resolution image-quality matching classification detection segmentation or related mission capabilities.
• Optimize model performance ensuring accuracy efficiency scalability bias awareness and operational reliability.
• Evaluate model performance using appropriate measures including precision recall F1 score confusion matrices ROC-AUC mean average precision false-match rates false-non-match rates false acceptance rates false rejection rates latency throughput and related performance metrics.
• Develop and maintain user-friendly AI applications and interfaces including image-analysis tools analytic dashboards chatbots virtual assistants and generative content tools.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
• Stay up to date with the latest advancements in AI/ML and emerging technologies such as computer vision biometrics generative AI reinforcement learning and secure AI deployment.
• Conduct research and experiments to explore new AI techniques and applications including image-model training computer-vision model evaluation prompt engineering advanced RAG image retrieval multimodal models and fine-tuning LLMs.
• Ensure compliance with data privacy biometric-data handling security and governance requirements especially when working with sensitive data images biometric information and generative-AI outputs.
• This role will be responsible for briefing the benefits and constraints of technology solutions to technology partners stakeholders team members and senior levels of management.

Work Experience and Job Skills:

• Three (3) or more years of experience in the Information Technology field focusing on AI/ML engineering projects computer vision image analysis biometric technologies MLOps DevSecOps and technical architecture.
• Demonstrated hands-on experience developing training fine-tuning evaluating or deploying computer-vision image-analysis deep-learning or biometric AI/ML models.
• Experience working with image-analysis use cases such as image classification object detection image segmentation image matching face detection facial recognition facial verification image quality assessment liveness detection identity verification fingerprint analysis iris recognition or related technologies.
• Familiarity with biometric systems biometric matching identity resolution facial recognition fingerprint iris liveness detection or image-quality analysis is required.
• Proficiency in developing deploying and fine-tuning generative-AI models including large language models (LLMs).
• Strong proficiency in programming languages such as Python R Java and C/C.
• Experience with machine-learning deep-learning computer-vision and generative-AI frameworks.
• Proficiency in ML modeling frameworks and libraries such as scikit-learn TensorFlow Keras PyTorch OpenCV YOLO Detectron Hugging Face or equivalent platforms.
• Experience with natural-language-processing techniques including text classification and language generation.
• Experience developing and evaluating image-analysis models using image transformations feature extraction embeddings image-data augmentation annotation/labeling and model-performance metrics.
• Solid understanding of any cloud platform such as AWS Azure or GCP and deployment strategies for AI/ML image-analysis and computer-vision workloads.
• Solid understanding of MLOps and DevSecOps practices for deploying AI/ML computer-vision and image-analysis models and applications.
• Proficiency in front-end development technologies such as React Angular HTML CSS and JavaScript.
• Knowledge of database systems such as SQL NoSQL vector databases graph databases and data-warehousing concepts.
• An understanding and competency surrounding data storage access ingestion and loading.
• Databases: PostgreSQL NoSQL vector databases graph databases or comparable technologies.
• ETL/ELT concepts.
• Data warehouse concepts.
• SQL.
• Competency in data exploration analytics data quality image-data processing and feature engineering.
• Python experience with Pandas NumPy Polars PySpark OpenCV Pillow scikit-image or comparable data and image-processing tools.
• Experience with Plotly Matplotlib or equivalent data-visualization tools.
• Knowledge of data encoding normalization regularization image preprocessing data augmentation and related data-preparation methods.
• Understanding of deep-learning concepts and architectures such as CNNs RNNs LSTMs GANs transformers vision transformers and multimodal models with the ability to apply them to real-world image biometric and mission datasets.
• Proficiency in NLP tools such as SpaCy Thinc Gensim or comparable frameworks.
• Knowledge of GenAI tools including Hugging Face models OpenAI models Grok or comparable platforms.
• General competency in various ML disciplines including image classification object detection segmentation facial recognition biometric matching forecasting transformers generative AI anomaly detection deep learning and pattern recognition.
• Enthusiastic proactive positive attitude with great listening skills high integrity and the ability to work effectively in a team environment.
• Adaptability to changing priorities and a willingness to learn and grow are essential.
• Excellent organizational skills and the ability to effectively manage concurrent projects.
• Comprehensive problem-solving skills with exceptional attention to detail.
• Ability to learn evolve think creatively and work proactively.
• Ability to work under pressure at times and to be extremely flexible with changing priorities.
• Ability to work independently and in a team setting take ownership of and complete relatively complex tasks effectively using available resources with minimal guidance.

Education:

Bachelors Degree in Computer Science Information Technology Management Engineering Data Science Artificial Intelligence Computer Vision Mathematics Statistics Physics or another related technical field is preferred. Alternative work-related experience military duty and/or specialized or higher education may be substituted.

Certificates Licenses and Registrations:

This federal program requires candidates to be United States Citizens.

Must have an active DHS clearance.

Any related systems engineering computer vision biometrics data science machine learning cloud or technical certifications are desired.

AWS/Azure/GCP AI/ML certifications are preferred but not required.

Communication Skills:

Must have excellent written and verbal communication skills.

Ability to convey technical information-including model performance image-analysis results biometric matching limitations and AI/ML solution tradeoffs-to non-technical individuals.

Demonstrated experience communicating effectively across internal and external organizations.

Must work well in a matrixed team environment.

Travel:

On-site in Ashburn VA.

Environmental Requirements:

Mainly sedentary; in an office environment.

May be required to lift up to ten (10) pounds.

Flexible in working extended hours.

The above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties responsibilities and skills required. Unissant management reserves the right to modify add or remove duties and to assign other duties as addition where applicable and available reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions.

Please note: Candidate(s) will be required to go through pre-employment screening.

Unissant Inc. is a proud Equal Opportunity Employer! (EOE; M/F/Disability/Vets)

Required Experience:

IC