Job Description

Job Title: AI Model Fine-Tuning Engineer Job Description As a Junior, Intermediate, or Sr. level AI Model Fine-Tuning Engineer, you will play a crucial role in enhancing the adaptability and intelligence of AI models, ensuring they align seamlessly with real-world applications. Utilizing advanced techniques, you will focus on refining model responses to be context-aware and of high quality. Responsibilities + Lead the fine-tuning process for large pre-trained models, ensuring they behave appropriately in diverse contexts such as instruction-following, answering questions, or performing tasks. + Design and implement prompt engineering strategies to enhance model output accuracy, relevance, and coherence. + Apply Reinforcement Learning from Human Feedback (RLHF) and other behavioral fine-tuning methods to improve alignment with user needs and ethical standards. + Collaborate with data teams to integrate relevant data and continuously improve model behavior. + Conduct model evaluations using various performance metrics, including accuracy, bias detection, and user feedback, to identify areas for improvement. + Iterate and experiment with different fine-tuning methods to achieve optimal performance for specific use cases. + Monitor model drift and ensure models remain consistent, reliable, and safe over time. Essential Skills + Bachelor's degree in Computer Science, Data Science, or a related field. + 5+ years of experience in fine-tuning large-scale models like GPT, T5, or BERT, focusing on behavior and functionality. + Expertise in RLHF, prompt engineering, and zero-shot learning. + Proficiency in Python and experience with libraries for model fine-tuning such as Transformers and DeepSpeed. + Experience with popular transformer architectures and frameworks like Hugging Face, TensorFlow, or PyTorch. + Deep understanding of LLM behaviors, including instruction-following, task completion, and ethical considerations. Additional Skills & Qualifications + Experience with ethical AI and safety considerations, including bias minimization and handling adversarial inputs. + Experience with model deployment and real-time experimentation, such as A/B testing. Junior: 0 - 2 years of professional experience, ideally from a top school focused in AI, with internships. Intermediate: 1-3 years of professional experience Senior : 3+ years Work Environment Candidates must be willing and able to work on-site at our Phoenix, Arizona facility. The work environment is highly regulated, with state-of-the-art technology and facilities. Personal cell phones are not permitted on-site. Relocation package is offered Pay and Benefits The pay range for this position is $95000.00 - $150000.00/yr. Medical & Insurance: Health coverage, wellness programs, and supplemental insurance.Family Care: Support for childcare, eldercare, and even pet care (a new addition).Wellness: Fitness, mental health resources, and travel-related benefits.Development & Volunteering: Funding for professional development and community service activities. Average of 85+ hours of learning programs per employee annually.Strong focus on technical training, leadership development, and cross-functional mobility Workplace Type This is a fully onsite position in Phoenix,AZ. Application Deadline This position is anticipated to close on Jul 11, 2025. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email [email protected] (%[email protected]) for other accommodation options.

Job Tags

Relocation package,

Similar Jobs