Job Description:

Description We are open to supporting 100% remote work anywhere within the United States. Must be able to support Eastern Time Zone ICF is seeking a Machine Learning Engineer with a passion for applied AI to join our Data Science team. This role is focused on building and integrating AI-powered solutions that solve real client problems. You’ll work across a variety client engagements, translating cutting-edge AI capabilities into production systems, rapid prototypes, and scalable pipelines. We’re looking for someone who loves building things, can bridge the gap between data science and software engineering, and has the communication skills to explain complex concepts to non-technical stakeholders. What you’ll be doing: Build and Integrate AI Solutions Design and implement AI-driven data pipelines and systems that integrate seamlessly with existing client infrastructure
Develop production-ready ML solutions using modern frameworks and cloud platforms
Architect scalable AI systems that prioritize reliability, maintainability, and performance
Collaborate with software engineering teams to embed AI capabilities into production applications
Implement MLOps best practices including model versioning, monitoring, and continuous deployment Rapid Prototyping and Demonstrations Create fast, compelling prototypes that demonstrate AI value to clients and stakeholders
Translate client problems into concrete AI/ML solutions with quick turnaround times
Experiment with emerging AI technologies and agentic tools (Claude Code, GitHub Copilot, AWS Q, etc.) to accelerate development
Build proof-of-concept applications that showcase the art of the possible Collaboration and Client Interaction Participate in client meetings and calls, translating technical concepts into business value
Work closely with project technical leads across multiple client engagements
Communicate AI capabilities, limitations, and recommendations to both technical and non-technical audiences
Gather requirements and provide technical consultation on AI feasibility and implementation approaches Model Development and Fine-tuning Fine-tune or train models when existing solutions don’t meet client needs
Evaluate and select appropriate pre-trained models and AI services
Conduct model performance analysis and optimization What you must have: Bachelor’s degree in Computer Science, Engineering, Data Science, or related technical field
5-8 years of overall professional experience
3-5 years of experience specifically focused on applied AI/ML
3-5 years of experience with Python and experience building production-grade code
Hands-on experience with modern ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face)
2-3 years of experience with at least one major cloud platform (AWS, Azure, or GCP) and their ML services
Proven experience applying Generative AI technologies to solve client problems, including designing, prototyping, and deploying LLM-based or agentic AI solutions.
Solid understanding of software engineering principles, version control (Git), and CI/CD practices
Experience integrating ML models into production systems and data pipelines
Proficiency in SQL and working with both relational and NoSQL databases
Skilled in building fast, functional prototypes (1-2 weeks) and scaling them into stable, production-grade solutions through iterative development.
Excellent communication skills with demonstrated ability to explain complex technical concepts to non-technical stakeholders
Strong problem-solving skills and a builder’s mindset
US Citizenship or Permanent Resident (Green Card Holder) per Federal contract requirements
Must be able to obtain and maintain Public Trust
MUST RESIDE in the United States (U.S.), and the work MUST BE PERFORMED in the United States (U.S.), as this work is for a federal contract and laws do apply. What we’d like you to have: Experience with Generative AI, LLMs, and incorporating them into production workflows
Familiarity with agentic AI frameworks and AI-augmented development tools
Experience with NLP, computer vision, or other specialized AI domains
Knowledge of data warehouse design and dimensional modeling
Experience with MLOps platforms and model monitoring tools
Background working on government or federal projects
Experience with Agile methodologies and working in cross-functional teams
Familiarity with data visualization tools (Tableau, Streamlit, Plotly)
Ability to obtain security clearance
Experience with deep learning and neural network architectures
Prior consulting or client-facing experience Why you’ll love working here: Generous vacation and retirement plans
Comprehensive health benefits
Flexible work location (fully remote)
Ongoing training and development opportunities
Friendly community with lots of social events
Participation in charity initiatives
Employee support program
Opportunity to work on diverse, impactful projects across multiple industries Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world’s toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer . Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email and we will be happy to assist . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Read more about workplacediscriminationrigh t s or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted . This policy is in place to maintain the integrity and authenticity of the interview process. However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at . We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed. Pay Range – There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is :
$98,124.00 – $166,810.00 Nationwide Remote Office (US99)