Artificial Intelligence/Machine Learning Developer

Unissant • Chantilly, VA

7d • Onsite

About The Position

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 www.unissant.com . Job Description: We are seeking an Artificial Intelligence/Machine Learning Developer (TS/SCI with Polygraph Required) to join our embedded team at the client site in Northern Virginia. The Ideal candidate will 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. Qualified applicants will be subject to security clearance validation/ security clearance cross-over and must meet minimum qualifications for SCI access to classified information. This is a highly technical position; individuals will be screened by peers in a technical review of skills and experience. This position is contingent upon contract award.

Requirements

• 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: Databases: PostgreSQL, NoSQL, Vector Databases, Graph Databases etc. ETL/ELT Concepts Data warehouse concepts SQL
• Competency in data exploration, analytics, and feature engineering (Python Specific): Pandas / NumPy / Polars / PySpark Plotly / Matplotlib (some form of data visualization) Data encoding / normalizing / regularizing / etc
• 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 adapt 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.
• Active TS/SCI w/ Polygraph is required.
• Bachelor's Degree in Computer Science, Information Technology Management or Engineering is required.

Nice To Haves

• Master's degree or PhD in AI, Machine Learning, Computer Science, or related field strongly preferred.
• Combination of substantial related experience, training, and education may substitute.
• Any related systems engineering, or related technical certifications are desired
• AWS/Azure/GCP AI/ML certifications are preferred but not required
• Must have excellent written and verbal communication skills
• Demonstrated experience communicating effectively across internal and external organizations
• Must work well in a matrixed team environment

Responsibilities

• 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level