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Senior Software Developer AI/Machine Learning- Remote

ICF
Nationwide Remote Office (US99), United States, United StatesRemotefull_timeVerifiedPosted 22 Jul 2025
💰 $166,810/yr($98,124/yr$166,810/yr)

About the role

*We are open to supporting 100% remote work anywhere within the US*

We are seeking an experienced software developer who is passionate about artificial intelligence, machine learning, and large language models. As a software developer, you will be responsible for designing and implementing innovative solutions that address complex problems using cutting-edge technologies. You will work with a team of experts in AI, machine learning, and natural language processing to develop and implement solutions that meet the needs of our ICF employees.

The ideal candidate will have a strong background in Python, with experience in developing and deploying scalable applications. You will be expected to have a deep understanding of these programming languages and be able to use them effectively to develop, optimize, and deploy AI and machine learning models and processes. Additionally, you should have experience with cloud-based platforms such as AWS, Azure, or GCP, and be familiar with containerization technologies such as Docker and Kubernetes.

At our organization, we value continuous learning and encourage our team members to stay up-to-date with the latest advancements in AI and machine learning. As such, we are looking for someone who is passionate about learning new technologies and exploring new ways to solve complex problems. ICF has deep relationships with commercial businesses that will get you up to speed with the most cutting edge technologies re: AI/ML and LLMs. If you are a self-starter with a strong work ethic and a desire to make a meaningful impact, we encourage you to apply for this exciting opportunity.

Basic Qualifications:

  • 3+ years hand-on experience in Python, Jupyter, Restful API or related.

  • 3+ years hands-on experience with neural networks, machine learning algorithms, or related.

  • 3+ years hands-on experience with structured/unstructured databases

  • 1+ years hands-on experience with Large Language Models (OpenAI, LaMDA, StableLM, LLaMA, PaLM, or related large language model.)

  • Green Card Holder or US Citizenship required due to federal contract requirements

  • Must be able to obtain Public Trust clearance

  • 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 

Preferred Qualifications:

  • B.S. in Computer Science or equivalent technical field

  • Experience with MS Power Platform, Azure.

  • Experience working with MS SQL, Stored Procedures, data extraction, data transformation, and data loading.

  • Strong initiative, solid judgment, and a desire to continually grow their technical knowledge.

  • Experience with technology skills including .NET framework/core, JavaScript/jQuery, and PowerShell scripting.

  • Strong understanding of SDLC concepts and experience in Agile/Scrum project methodologies

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.

 

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 Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent 

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ICF

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