Artificial Intelligence/ Machine Learning Developer
Unissant
- Ashburn, VA
- Permanent
- Full-time
- 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.
- 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 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.
- 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.
- 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.
- 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
- 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.
- On-site in Ashburn, VA.
- Mainly sedentary; in an office environment
- May be required to lift up to ten (10) pounds
- Flexible in working extended hours