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Unissant · 3 months ago

Artificial Intelligence/Machine Learning Developer

Ashburn, VA

Full-time

Hybrid

Mid Level

3+ years exp

Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. They are seeking an Artificial Intelligence/Machine Learning Developer to support the modernization and maintenance systems for the Department of Homeland Security. The role involves developing, training, and deploying AI/ML models while collaborating with cross-functional teams to integrate AI solutions into existing systems.

Health CareInformation ServicesInformation Technology

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Drive a big data approach to execute government requirements to manage and enrich data to gather new insights

As the AI/ML developer, an ideal candidate will be part of a team to provide consultative, architectural, program, and engineering support for a federal customer

This is a client-facing position working remote or hybrid, subject to the requirements established by the CBP customer

Develop, train, and deploy advanced AI/ML and Gen-AI models

Design and implement innovative AI solutions to address complex business challenges using techniques such as natural language processing and large language models

Optimize model performance, ensuring accuracy, efficiency, and scalability

Develop and maintain user-friendly AI applications and interfaces, including 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 generative AI and reinforcement learning

Conduct research and experiments to explore new AI techniques and applications, including prompt engineering, Advanced RAGs and fine-tuning LLMs

Ensure compliance with data privacy and security regulations, especially when dealing with sensitive data 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

Qualification

AI/ML model developmentNatural language processingMLOpsDevSecOpsCloud platformsPythonGenerative AI frameworksData warehousing conceptsDeep learning conceptsML modeling toolsCommunicationProblem-solving skillsTeam collaborationAdaptability

Required

3+ years of experience in the Information Technology field focusing on AI/ML engineering projects, MLOps and DevSecOps and technical architecture specifically

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++ (optional)

Experience with machine learning and generative AI frameworks

Experience with natural language processing techniques (e.g., text classification, language generation)

Solid understanding of any of the cloud platforms (e.g., AWS, Azure, GCP) and deployment strategies

Solid understanding of MLOps and DevSecOps practices for deploying AI-ML models and applications

Proficiency in any front-end development technologies (e.g., React, Angular, Vue.js, HTML, CSS, JavaScript)

Knowledge of database systems (e.g., SQL, NoSQL, Vector Database, Graph Database) and data warehousing concepts

An understanding and competency surrounding data storage, accesses, and loading

Competency in data exploration, analytics, and feature engineering. (Python Specific)

Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ability to apply to real world data sets and problems

Proficiency in ML Modeling - Scikit-Learn, Tensorflow, Keras, Pytorch

Proficiency in NLP Tools SpaCy, ThinC, Gensim

Knowledge of Gen-AI Tools Hugging Face models, OpenAI models, Grok

General competency in various ML disciplines like Classification, Forecasting, Transformers, Generative, Anomaly Detection and Deep Learning

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 ability to effectively manage concurrent projects

Comprehensive problem-solving skills with exceptional attention to detail

Ability to learn, evolve, think creatively and proactively

Able 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, as needed, with minimal guidance

Must have excellent written and verbal communication skills

Ability to convey technical information to non-technical individuals

Demonstrated experience communicating effectively across internal and external organizations

Must work well in a matrixed team environment

This federal program requires the candidates to be a United States Citizen

Must have a current CBP BI clearance or be eligible to obtain one

Preferred

Bachelor's Degree in Computer Science, Information Technology Management or Engineering is preferred. Alternative work-related experience, Military Duty, and/or specialized or higher education may be substituted

Any related systems engineering, or related technical certifications are desired

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