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Description

As a Prompt Engineer, you will be responsible for designing and implementing the natural language processing (NLP) and machine learning (ML) models that power our web3 documentation chatbot. You will work closely with our product and engineering teams to ensure that our chatbot provides accurate and helpful responses to user inquiries.

Job Location:

Remote, within the U.S.

If you accept this position, you should note that ICF does monitor employee work locations blocks access from foreign locations/foreign IP addresses and also prohibits personal VPN connections.

Responsibilities

Design, develop, and implement custom generative LLMs (e.g. models similar to GPT ) and discriminative LLMs (e.g. models similar to BERT)
Create wrapper apps based on ChatGTP and other LLMs
Design, develop, and implement systems for AI alignment, Reinforcement Learning with Human Feedback (RLHF) instruction models, and AI guardrails.
Conduct rigorous tests to evaluate LLMs across standardized performance benchmarks and custom evaluations.
Employ cutting edge Natural Language Processing (NLP) and Machine Learning (ML) techniques to solve complex natural language problems.
Translate technical findings into clear, actionable insights for a non-technical audience
Develop and maintain documentation and best practices for our NLP and ML models.
Collaboratively develop distributed training infrastructure to train and fine tune LLMs
Collaborating closely with our data science and core development teams, you will lead efforts in designing and implementing products from scratch
Collaborate with data science and core development teams to integrate AI technologies into both internal and external tools
Provide technical leadership in AI system audits, model accuracy improvements, and tool deployment
Fine-tune AI models based on real-world performance data and stakeholder feedback

Minimum Qualifications

US Citizenship is required by the federal government for this position
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.
Bachelor's degree in computer science or related field
7 years of work experience as a software engineer or relevant experience
3+ Strong background in natural language processing, machine learning, and data analysis

Preferred Qualifications

3+ years of experience with Python
3+ Experience with Azure
Familiarity with popular machine learning (ML) frameworks such as TensorFlow and PyTorch.
Experience with generative large language model (LLM) fine-tuning and prompt engineering
Experience with deep learning frameworks
Ability to work with data scientists, business analysts and machine learning infrastructure to connect the dots between business and technology partners
Demonstrates passion for developing LLM-powered products whether that is through commercial experience or open-source projects you have worked on in your own time
Proven track record of shipping software and successfully released apps (please include names and links on your resume)
Experience in cloud technologies and edge computing relevant to AI deployment
Familiarity with Databricks (Delta Lake, notebooks, clusters, jobs) for large-scale data processing.
Familiarity with CI/CD pipelines
Understanding DevOps best practices.
Familiarity with using Virtual Machine environment.

Professional Skills

Excellent problem-solving skills and the ability to work independently and collaboratively.
Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Capacity for problem solving
Comfortable with collaboration and open communication across distributed teams

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 (https://www.icf.com/legal/equal-employment-opportunity) 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? 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 required to provide needed reasonable accommodations.?

Read more about? workplace?discrimination?righ 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? candidateaccommodation@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:

$131,256.00 - $223,134.00

Nationwide Remote Office (US99)

If you have questions about this posting, please contact support@lensa.com

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