Senior Software Developer AI/Machine Learning
Nationwide Remote Office (US99)
*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 …
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Restrictions100% remote Federal contract requirements Must be able to obtain Public Trust clearance MUST BE PERFORMED in the United States Must reside in the United States Must reside in the US Remote work Work must be performed in the United States
Benefits/Perks100% Remote 100% remote work Career growth Continuous learning Cutting-edge technology Equal opportunity employer Fully remote Inclusive workplace Reasonable accommodations Remote Remote-first company Remote work
Tasks- Continuous Learning
- Data extraction
- Designing
- Design solutions
- Developing
- Implement solutions
- Navigate change
- Optimize processes
- Shape the future
Agile AI API Artificial Intelligence AWS Azure Cloud Containerization Continuous Learning Databases Data Extraction Data Transformation Docker Education GCP Javascript JQuery Jupyter Kubernetes Large Language Models Machine Learning Machine Learning Algorithms ML MS Power Platform MS SQL Natural Language Processing .Net Neural Networks New technologies Organization Policy PowerShell Programming Programming languages Public Trust Clearance Python RESTful RESTful API Science Scripting Scrum SDLC SQL Technical Technology Services
Experience3 years
EducationArtificial Intelligence B.S. B.S. in Computer Science Computer Science Education Equivalent MS Policy Science Technical field Technology
Certifications Timezones