AI/ML Developer

Unissant; Ashburn (VA); Hybrid; USD 100,000 - 130,000; Full time

Job summary

A leading tech solutions provider in Ashburn, Virginia, is seeking an Artificial Intelligence/Machine Learning Developer to drive data strategies and develop advanced models. The ideal candidate has over 3 years of experience and strong programming skills in Python and R, focused on delivering innovative AI solutions. This role offers the flexibility of remote or hybrid work arrangements. Candidates will need to ensure compliance with data regulations and possess excellent communication skills.

Qualifications

• 3+ years of experience in AI/ML engineering projects.
• Proficient in developing and deploying generative AI models.
• Solid understanding of cloud platforms and deployment strategies.

Responsibilities

• Drive a big data approach to manage and enrich data.
• Develop and deploy advanced AI/ML and Gen-AI models.
• Optimize model performance for accuracy and efficiency.

Skills

Python

R

Java

C/C++

MLOps

DevSecOps

Natural Language Processing

Data Visualization

Deep Learning

Communication

Education

Bachelor's Degree in Computer Science, IT Management, or Engineering

Tools

TensorFlow

PyTorch

Scikit-Learn

spaCy

Plotly

Gensim

Job description

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.

Artificial Intelligence/Machine Learning Developer

Location: Ashburn, Virginia

Essential Duties and Responsibilities

• Drive a big data approach to execute government requirements to manage and enrich data to gather new insights.
• 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.
• Brief technology partners, stakeholders, team members, and senior management on technology solutions.

Work Experience and Job Skills

• 3+ years of experience in AI/ML engineering projects, MLOps and DevSecOps and technical architecture.
• Proficiency in developing, deploying, and fine‑tuning generative AI models, including large language models (LLMs).
• Strong programming skills in Python, R, Java, and C/C++ (optional).
• Experience with machine learning and generative AI frameworks.
• Experience with natural language processing techniques.
• Solid understanding of cloud platforms (AWS, Azure, GCP) and deployment strategies.
• Proficiency in MLOps and DevSecOps practices.
• Knowledge of database systems and data warehousing concepts.
• Experience with ETL/ELT concepts and data warehouse concepts.
• Competency in data exploration, analytics, and feature engineering (Python specific).
• Experience with data visualization (Plotly / Matplotlib).
• Deep learning concepts and architectures (CNNs, RNNs, LSTM, GANs).
• Proficiency in ML libraries: Scikit‑Learn, TensorFlow, Keras, PyTorch.
• Proficiency in NLP tools: spaCy, Gensim.
• Knowledge of Gen‑AI tools: Hugging Face, OpenAI, Grok.
• General competency in ML disciplines: Classification, Forecasting, Transformers, Generative, Anomaly Detection, Deep Learning.
• Strong communication, collaboration, adaptability, and problem‑solving skills.

Education

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

Certificates, Licenses and Registrations

• United States Citizen.
• Current CBP BI clearance or eligibility to obtain one.
• Technical certifications (e.g., system engineering) desirable.
• AWS / Azure / GCP AI/ML certifications preferred but not required.

Communication Skills

• Excellent written and verbal communication.
• Ability to convey technical information to non‑technical individuals.
• Experience communicating effectively across internal and external organizations.
• Teamwork in a matrixed environment.

Travel

• On‑site in Ashburn, VA.
• Office environment; mostly sedentary.
• May be required to lift up to 10 pounds.
• Flexible working extended hours.

We are an Equal Opportunity Employer. (EOE; M/F/Disability/Vets)

Candidate(s) will be required to go through pre‑employment screening.

We retain the right to modify duties and provide reasonable accommodation for disabilities.