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Technical Lead, Machine Learning

Role overview

Qualifications

  • Experience building and shipping production ML systems used by real users
  • Strong Python and PyTorch (or JAX) experience
  • Hands-on experience with LLM fine-tuning and inference optimization
  • Deep understanding of ML infrastructure, distributed training or GPU-based systems

Responsibilities

  • Design and scale production ML systems for LLM-based applications
  • Build training and evaluation pipelines for continuous model improvement
  • Optimize inference performance, latency and GPU utilization
  • Develop high-quality training datasets and evaluation frameworks

About the company

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OnHires

Staffing & Recruiting

Global high-tech Recruitment & Staffing for fast-growing companies We are a global recruitment agency that helps businesses scale by hiring talented tech specialists in 3 weeks. Our Mission To connect great companies with even greater talent. Our Vision To be the leading partner that clients and candidates always choose to connect with. Our Approach We are goals driven team, where culture is more important than formal processes. We have built a work environment that nurtures growth and true teamwork. There is nothing as satisfying as learning and celebrating successes together! Once you get to know us, you’ll know where this drive and energy come from.

Company details

Company typeScaleup
IndustryStaffing & Recruiting
Company size11 - 50

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Job description

Technical Lead, Machine Learning

Founding AI Engineering Team | Remote | Cash + Equity

About the company

We`re partnering with A1, a new AI venture incubated by BJAKβ€”one of Southeast Asia's largest and profitable technology companies. Backed by an initial $100M investment, A1 is building the next generation of AI-native productivity applications.

The first product reimagines email using autonomous AI agents that can understand context, reason through multi-step tasks, and complete work on behalf of users while keeping them in control.

This is an opportunity to join the founding engineering team before product launch and help shape both the platform and the engineering culture.


The role

We're looking for a Technical Lead, Machine Learning to turn cutting-edge AI research into reliable production systems.

This isn't a research role. You'll own the infrastructure and execution layer that makes large language models trainable, deployable, observable and scalable in production.

You'll work across model fine-tuning, inference, evaluation, data pipelines and GPU infrastructure while partnering closely with product and backend engineers.


What you'll work on

  • Design and scale production ML systems for LLM-based applications.

  • Build training and evaluation pipelines for continuous model improvement.

  • Fine-tune foundation models using modern adaptation techniques such as LoRA, QLoRA, SFT and DPO.

  • Optimize inference performance, latency and GPU utilization.

  • Develop high-quality training datasets and evaluation frameworks.

  • Own deployment, monitoring and reliability of ML services in production.

  • Help define engineering standards while mentoring a small, high-calibre ML team.

What we're looking for

  • Experience building and shipping production ML systems used by real users.

  • Strong Python and PyTorch (or JAX) experience.

  • Hands-on experience with LLM fine-tuning and inference optimization.

  • Deep understanding of ML infrastructure, distributed training or GPU-based systems.

  • Strong engineering mindset with a focus on scalability, reliability and code quality.

  • Comfortable taking ownership in a fast-moving startup environment.

Why join A1?

  • Founding engineering role with significant technical ownership.

  • Opportunity to influence product architecture from the ground up.

  • Backed by $100M while operating with the speed of a startup.

  • Small, high-talent engineering team focused on solving challenging AI infrastructure problems.

  • Competitive cash compensation plus equity.

  • Remote-first environment with long-term growth opportunities.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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