Artificial Intelligence/Machine Learning Developer

About the role

We are seeking an Artificial Intelligence/Machine Learning Developer to join our team and support our federal customer. Qualified applicants may be subject to a security investigation and must meet minimum qualifications for access to classified information.

Responsibilities

• Drive a big data approach to execute government requirements to manage and enrich data to gather new insights.
• Part of a team to provide consultative, architectural, program, and engineering support for a federal 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 levels of management on the benefits and constraints of technology solutions.

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, Google Cloud Platform) 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

Skills

• 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.

Qualifications

• Comprehensive problem-solving skills with exceptional attention to detail.
• Able to work under pressure (at times) and to be extremely flexible with changing priorities.
• Able 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.

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.

Benefits

Flexible in working extended hours

Pay

$193,745 per year

Schedule

Mainly sedentary; in an office environment

Environmental Requirements

May be required to lift up to ten (10) pounds