AI-ML Developer

About the role

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 are seeking an AI-ML Developer to join our team in Ashburn, Virginia to support the ongoing modernization and maintenance systems for the Department of Homeland Security (DHS), Customs and Border Protection (CBP).

Responsibilities

• Drive a big data approach to execute government requirements to manage and enrich data to gather new insights.
• Develop, train, and deploy advanced AI/ML models, including generative AI techniques like large language models (LLMs).
• Design and implement innovative AI solutions to address complex business challenges, such as natural language processing.
• 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.
• Responsible for briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior levels of management.

Requirements

• 5+ years of experience in the Information Technology field focusing on AI/ML engineering projects, MLOps/DevSecOps and technical architecture specifically.
• Experience in architecture & design, with a preference for 3 years of experience deploying production enterprise applications on-prem or on cloud.
• Experience with classification, forecasting, transformers, and generative models.
• Experience in data visualization using tools like Plotly and Matplotlib.
• Experience in large-scale, high-performance enterprise big data application deployment and solution architecture on complex heterogeneous environment.
• 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.

Skills

• Database Knowledge: Knowledge of database systems (e.g., SQL, NoSQL) and data warehousing concepts.
• Generative AI Models: Proficiency in developing, deploying, and fine-tuning generative AI models, including large language models (LLMs).
• Programming Languages: Strong proficiency in programming languages such as Python, R, Java, and C/C++.
• Front-end Development: Proficiency in any front-end development technologies (e.g., React, Angular, Vue.js, HTML, CSS, JavaScript).
• Data Analytics: Expertise with libraries such as Pandas and NumPy for data manipulation and exploration.
• ML Frameworks: Proficiency in ML Modeling concepts and frameworks like Sklearn, TensorFlow, Keras, PyTorch, and others.
• Data Preprocessing: Strong skills in data encoding, normalizing, and regularizing to prepare datasets for ML models.
• Deep Learning: Solid understanding of deep learning architectures such as CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks), LSTMs (Long Short-Term Memory networks), and GANs (Generative Adversarial Networks), with the ability to apply them to real-world data sets and problems.
• Anomaly Detection: Familiarity with anomaly detection techniques and deep learning models.
• Cloud Platforms: Solid understanding of cloud services, such as AWS, Azure, or GCP, and deployment strategies.

Education

• 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.

Job Posted by

Amazon