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Lead Machine Learning Engineer at AdvisoryAI
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Lead Machine Learning Engineer at AdvisoryAI
Job summary
A fintech SaaS company is looking for a Lead Machine Learning Engineer to design and implement AI-driven solutions. You will collaborate with various teams and build end-to-end ML pipelines. The ideal candidate should have strong Python programming skills and experience with ML frameworks like TensorFlow or PyTorch. This remote role offers the chance to impact financial services widely.
Qualifications
- Strong programming experience in Python required.
- Proficiency with ML frameworks like TensorFlow or PyTorch is essential.
- Experience building robust, scalable ML systems needed.
Responsibilities
- Collaborate with product, engineering, and research teams to design and evaluate AI experiments.
- Build end-to-end pipelines for training, fine-tuning, and deployment of ML solutions.
Skills
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Job Title: Lead Machine Learning Engineer
Company Description: AdvisoryAI - VC-backed fintech SaaS
Location: Remote
Salary: Not Disclosed
Job Description: AdvisoryAI is revolutionizing wealth management by empowering financial advisors with AI‑driven automation. As a Lead ML Engineer, you'll design, implement, and scale cutting‑edge machine learning solutions, transforming research into real‑world product features. This role offers significant impact in a fast‑growing, funded startup environment.
- Be at the frontier of AI in financial services, impacting real users and outcomes daily.
- Join a fast‑scaling startup with $5M seed funding, established product‑market fit, and hundreds of daily active users.
- Enjoy the freedom and responsibility to shape the direction of ML infrastructure and product integration.
- Collaborate with product, engineering, and research teams to design, execute, and evaluate AI experiments.
- Adapt and implement cutting‑edge research methods to optimize and scale model performance in production.
- Build end‑to‑end pipelines for training, fine‑tuning, distillation, and deployment of customized ML solutions.
- Possesses strong programming experience in Python and proficiency with ML frameworks like TensorFlow or PyTorch.
- Has proven experience building robust, scalable ML systems, comfortable with CI/CD and model deployment.
- Familiarity with large language models (LLMs) or SLMs (e.g., OpenAI, Llama) and related frameworks (e.g., LangChain).
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.