AI-ML Developer

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

• 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, The above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Unissant management reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, where applicable and available, reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions of this position.

Do you have experience in IT department experience?, * 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.

Job 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.

Certificates, Licenses and Registrations:

• 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.

Communication Skills:

• Excellent verbal and written skills, ability to present proposals and performance data, comfortable interfacing all levels of organization.
• Enthusiastic, proactive, positive attitude with great listening skills, high integrity, and the ability to work effectively in a team environment.
• Ability to write clear and concise creative content in a highly confidential manner
• Solid ability to interface, inspire and motivate at various levels of the organization
• Ability to convey technical information to non-technical individuals
• Demonstrated experience communicating effectively across internal and external organizations., * Mainly sedentary; in an office environment
• May be required to lift up to ten (10) pounds
• Flexible in working extended hours