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Machine Learning Engineer (AI) - (Remote - US)

  2025-11-06     Virginia Staffing     all cities,AK  
Description:

Machine Learning Engineer

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
  • Rapid Prototyping and Demonstrations
  • Collaboration and Client Interaction
  • Model Development and Fine-tuning

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
  • 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 (12 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 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.

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 ...@icf.com. 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)


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