United States only*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 theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read our EEOpolicy.
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 withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please email Candidateaccommodation@icf.com and we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations.
Read more about workplace discrimination rightsor our benefit offerings which are included in the Transparency in (Benefits) CoverageAct.
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 orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.
However, we understand that some candidates may require accommodation that involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. Weare dedicated to providingthe 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 - $166,810.00Nationwide Remote Office (US99)
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