Artificial Intelligence & Machine Learning Engineer (Senior Consultant)

Fearless is a digital integration consultancy on a mission to build a better tomorrow. They are seeking a Senior Artificial Intelligence & Machine Learning Engineer Consultant to design and implement AI-driven solutions for high-priority federal civilian government initiatives, ensuring scalable and reliable systems while mentoring engineers and collaborating with cross-functional teams.

Responsibilities:

• Design, implement, and support AI-driven solutions for high-priority federal civilian government initiatives, focused on improving data accessibility, analysis, and policy outcomes
• Develop and configure AI agents using Retrieval-Augmented Generation (RAG) architectures to enable accurate, scalable, and explainable AI capabilities
• Fine-tune and optimize AI/ML models, with preference for experience leveraging RAFT or similar advanced fine-tuning techniques
• Build, maintain, and optimize large-scale data pipelines and data processing systems using Go, ensuring high performance, reliability, and scalability in data-intensive environments
• Collaborate with cross-functional teams to manage and process massive datasets that support analytics, AI models, and downstream applications
• Serve as a technical bridge between AI capabilities and stakeholder needs by translating complex technical concepts into clear, actionable solutions for non-technical and policy-focused audiences
• Partner with government stakeholders to understand mission goals and guide the practical application of AI and data solutions
• Leverage cloud-based platforms such as Databricks and/or AWS to support data engineering, model training, and deployment workflows
• Support ML lifecycle management and CI/CD processes for models, including experiment tracking and versioning using tools such as MLflow

Requirements:

• Three (3) or more years of related experience
• Ability to obtain and maintain a public trust clearance
• AI/ML engineering with experience implementing Retrieval-Augmented Generation (RAG) and AI agents
• Model fine-tuning expertise (e.g., RAFT or comparable techniques)
• Strong programming skills in Python and Go
• Large-scale data pipeline design and high-performance data processing
• Experience working with massive datasets in production environments
• Cloud platforms: Databricks and/or AWS
• ML lifecycle management and CI/CD using tools such as MLflow
• Ability to translate complex AI and data concepts into actionable solutions for non-technical stakeholders
• Analytical Thinking: The ability to observe and interpret information, break down complex problems into parts, identify patterns/relationships and draw logical conclusions to develop effective solutions
• Synthetic Thinking: The ability to combine different ideas, information, or concepts to create a new, complex understanding or solution by integrating disparate elements into a new, meaningful whole
• Adaptability: Comfort with change, flexibility in the face of shifting demands and resilience to setbacks
• Ownership & Accountability: Committed to taking responsibility for outcomes, ensuring that all commitments are met with a focus on enhancing service delivery
• Consultative Advising: Identifies and articulates client challenges, scopes projects and aligns recommendations to business goals and client expectations
• Communicating with Influence: Capable of crafting and delivering clear, persuasive messages that integrate data insights and structured narratives, tailored to the strategic needs of diverse audiences to drive effective decision-making
• Managing Priorities & Client Alignment: Skillfully negotiates and manages conflicting priorities to strategically align decisions, enhancing service delivery and client satisfaction