Senior Machine Learning Engineer (Ai)

TL;DR

Senior Machine Learning Engineer (AI): Building ML solutions to produce immediate customer impact by helping them get more done than they ever imagined with current Generative AI trends. Focus on optimizing generative AI products for accuracy, speed, and scalability and integrating ML cloud solutions and adapt them to our large-scale use cases.

Location: London, England, United Kingdom

Company

hirify.global is a leading digital experience platform that helps modern businesses meet the growing demand for engaging, personalized content at scale.

What you will do

• Measure and ensure the high-quality output of ML workloads for our enterprise customers.
• Design, build, and measure production software in the hirify.global Platform.
• Conduct focused research and testing using tools like Jupyter Notebook.
• Optimize generative AI products for accuracy, speed, and scalability.
• Integrate prompt engineering and fine-tuning for customer use cases.
• Drive the ML education in the team and establish a high standard of quality & ownership

Requirements

• Proven experience as a technical leader in a product software development environment.
• Proven Track Record in Model Development, including successfully developing and deploying LLM-based models for various NLP tasks in real-world applications with production workloads
• Proven ability to work backwards from customer needs to deliver ML-based features that meet those needs
• Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP)
• Solid understanding of machine learning principles
• Experience with container frameworks such as Docker or Kubernetes

Nice to have

• Background includes machine learning and AI implementation
• You can translate a research paper into a PoC if the code does not exist

Culture & Benefits

• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, education days, compassion days for loss, and volunteer days
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.