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Senior Machine Learning Engineer – Generative AI Development and Leadership

SpringCube

Full time - Manager

Healthcare Services & Tech

Singapore ( Onsite )

Published 4 weeks ago

Salary: SGD10,000 - SGD15,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Senior Machine Learning Engineer – Generative AI Development and Leadership

Company Overview
This organization pioneers innovative solutions that empower individuals to live healthier, higher-quality lives by leveraging advanced AI technologies and cloud-connected medical devices. Their commitment to improving patient care and operational efficiency drives cutting-edge advancements in generative AI and machine learning.

Job Description
As a Senior Machine Learning Engineer, you will lead the development of production-grade generative AI applications while establishing best practices and benchmarks for AI/ML systems. Working within a high-performing team, you will collaborate with cross-functional stakeholders to transform technical specifications into scalable AI solutions. You will also mentor junior team members, foster best coding practices, and facilitate the adoption of generative AI products across the organization.

Responsibilities:

  • Design and implement advanced internal and external generative AI products.
  • Develop guardrails, benchmarks, and best practices for generative AI systems.
  • Lead the creation of proof-of-concept (POC) and minimum viable product (MVP) applications.
  • Deploy scalable, production-grade AI/ML solutions.
  • Facilitate design sessions to address complex AI challenges and provide insights to various stakeholders.
  • Collaborate with cross-functional teams, including product management and data science, to develop and deploy production models.
  • Mentor junior team members and ensure adherence to best coding practices.

Qualifications and Experience:

Required:

  • Master’s or PhD in computer science, data science, or a related field with 3+ years of industry experience in machine learning engineering, data science, or data engineering.
    OR: Bachelor’s degree with 5+ years of relevant industry experience.
  • Strong expertise in machine learning systems, including feature/data pipelines, model training, and inference.
  • Proficiency in Python and 5+ years of experience with AWS or similar cloud platforms.
  • Solid experience in deploying ML models in production environments.
  • Advanced knowledge of natural language processing (NLP), including text processing, regex, and modeling.

Preferred:

  • Extensive experience with infrastructure tools like Terraform.
  • Knowledge of DevOps practices such as deployments, observability, and model monitoring.
  • Previous experience in developing generative AI solutions.
  • Advanced expertise in RESTful APIs and industry-standard architectural design patterns.

Disclaimer:
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

  1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
  2. No Client Relationship: This company is not a client of SpringCube unless stated.
  3. To apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
  4. No Liability: SpringCube is not liable for inaccuracies.