LLM Tuning Engineer

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• Strong background in NLP, deep learning, and machine learning, with a proven track record in fine-tuning LLMs for complex language tasks
• Good background in NLP, deep learning, and machine learning, with experience in fine-tuning LLMs
• Proficiency in programming languages such as Python, Tensor Flow, and Py Torch
• Experience with popular NLP frameworks and libraries (e.g., Hugging Face Transformers, Allen
  
  NLP)
• Solid understanding of linguistics, semantics, and syntactic structures
• Extensive experience working with data and developing, designing, and presenting analytics
• Knowledge of software engineering leading practice, including version control and testing methodologies
• Guide-level knowledge of sophisticated analytical model development and construction
• Comfort with questioning assumptions and demonstrable relational analysis
• Demonstrable ability to build rapport, negotiate, and gain the confidence of others

Requirements:

• Analyze and interpret experimental results to guide decision-making and improve model performance
• Apply creative problem solving and inter-departmental networking to address data and information needs across the enterprise
• Share proven techniques with peers through coaching and mentoring around core methodologies, patterns, standards, and processes
• Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up product decision-making processes
• Discover technology improvement opportunities through extensive analysis and work with other teams to address these opportunities
• Master’s degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related field

Job Responsibilities:

• Experience leading decision-making through idea sharing and consensus-building
• Experience in coaching and mentoring staff members
• Proven track record in meeting ambitious deadlines
• Identifying data requirements for analytical needs
• Familiarity with cloud computing platforms and distributed computing environments
• Research, design, and implement pioneering NLP algorithms with a focus on fine-tuning LLMs, including BERT, GPT, and their variants
• Develop custom fine-tuning strategies and techniques to optimize performance on specific language tasks and domains
• Collaborate with cross-functional teams to integrate fine-tuned LLM solutions into products and services
• Stay up-to-date with the latest advancements in NLP, LLMs, and AI technologies, particularly in fine-tuning methodologies

Global Logic estimates the starting pay range for this role to be performed remotely, and the salary range will be $140,000/yr to $145,000/yr and reflects base salary only. This pay range is provided as a good-faith estimate, and the amount offered may be higher or lower. Global Logic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.

What we offer

Culture of caring. At Global Logic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders.

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career h our Career Navigator tool as just one example, Global Logic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. Global Logic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as…