Technical Product Manager – ML & LLM Platforms Domain

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AI Summary

Manage the product vision and roadmap for client's ML & LLM Ops platforms. Define how teams productionize ML models and LLM-powered applications. Requires 5+ years in ML/data/platform engineering and 2+ years in technical product management.

Key Highlights
Define and evolve product vision and roadmap for ML & LLM Ops platforms.
Shape productionization of ML models and LLM-powered applications.
Drive platform evolution to support AI-native development workflows and coding agents.
Key Responsibilities
Define and evolve the product vision and roadmap for client’s ML & LLM Ops platforms.
Shape how teams productionize ML models and LLM-powered applications.
Identify platform gaps, scalability constraints, and optimization opportunities.
Drive the evolution of our platform to support AI-native development workflows and coding agents.
Gather requirements from ML engineers, data scientists, backend engineers, and AI application teams.
Translate complex technical needs into clear product requirements and prioritization frameworks.
Proactively identify opportunities to reduce friction, improve reliability, and increase deployment velocity.
Balance experimentation flexibility with governance, safety, and cost efficiency.
Own features end-to-end: concept, specification, prioritization, implementation, and post-launch analysis.
Partner closely with engineering to balance platform scalability, performance, and technical debt.
Ensure platform capabilities support monitoring, evaluation, retraining, versioning, and observability of ML/LLM systems.
Drive adoption through documentation, training, and internal evangelism.
Collaborate with engineering to level up client’s platforms to be more compatible with AI coding assistants and autonomous agents.
Ensure platform APIs, tooling, and abstractions enable meaningful AI-generated code contributions.
Help define guardrails and workflows that allow safe, reliable AI-assisted development.
Technical Skills Required
ML Ops LLM Ops ML systems Model lifecycle management RAG Fine-tuning Prompt management Evaluation frameworks
Benefits & Perks
Excellent base salary
Attractive company benefits
Relocation provided

Job Description


Job Description


Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.


We are currently looking for Technical Product Manager – ML & LLM Platforms Domain who has proven track record in IT Industry. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.


Technical Product Manager – ML & LLM Platforms Domain

Location: Bangkok, Thailand_Relocation provided


In This Role, You’ll Get to

  • Define and evolve the product vision and roadmap for client’s ML & LLM Ops platforms
  • Shape how teams productionize ML models and LLM-powered applications
  • Identify platform gaps, scalability constraints, and optimization opportunities
  • Drive the evolution of our platform to support AI-native development workflows and coding agents


Requirements & Opportunity Discovery

  • Gather requirements from ML engineers, data scientists, backend engineers, and AI application teams
  • Translate complex technical needs into clear product requirements and prioritization frameworks
  • Proactively identify opportunities to reduce friction, improve reliability, and increase deployment velocity
  • Balance experimentation flexibility with governance, safety, and cost efficiency


Execution & Delivery

  • Own features end-to-end: concept, specification, prioritization, implementation, and post-launch analysis
  • Partner closely with engineering to balance platform scalability, performance, and technical debt
  • Ensure platform capabilities support monitoring, evaluation, retraining, versioning, and observability of ML/LLM systems
  • Drive adoption through documentation, training, and internal evangelism


AI-Native Platform Evolution

  • Collaborate with engineering to level up client’s platforms to be more compatible with AI coding assistants and autonomous agents
  • Ensure platform APIs, tooling, and abstractions enable meaningful AI-generated code contributions
  • Help define guardrails and workflows that allow safe, reliable AI-assisted development


What You’ll Need to Succeed

  • 5+ years of experience in ML engineering, data science, platform engineering, or a related technical domain
  • 2+ years of technical product or program management experience in fast-paced, high-scale environments
  • Experience working with ML Ops and/or LLM Ops concepts (model lifecycle, evaluation, monitoring, versioning, deployment pipelines)
  • Technical Depth

    • Strong understanding of ML systems and model lifecycle management
    • Familiarity with LLM application patterns (RAG, fine-tuning, prompt management, evaluation frameworks, etc.)
    • Comfortable discussing architecture, APIs, infrastructure trade-offs, and scalability concerns with senior engineers
    • Strong analytical mindset with the ability to reason about system design, performance, and cost trade-offs



    WHAT’S ON OFFER

    You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

    To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to seema@aven-sys.com Your interest will be treated with strict confidentiality.

    CONSULTANT DETAILS:

    Consultant Name : Seema Verma

    Avensys Consulting Pte Ltd

    EA Licence 12C5759

    Privacy Statement:

    We take your personal data protection seriously and adhere to both EU and local data protction regulations.

    Upon submission of your CV, you grant Avensys Consulting permission to retain your personal information in our electronic database, unless you specify otherwise. This data will be used to evaluate your suitability for current and potential job openings within our organization. Should you wish to have your personal data removed at any point, a simple notification to us will suffice.

    Rest assured, we will not disclose your personal information to any third parties, and we remain steadfast in our commitment to providing equal opportunities to all applicants.


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