AI Tech Lead: GenAI, MLOps & Python Expert

Optimum Solutions Pte Ltd; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Optimum Solutions Pte Ltd in Singapore is seeking a senior AI/ML Platform Engineer to lead production AI/ML initiatives and mentor a technical team. You will architect scalable data/AI solutions, implement GenAI capabilities, and collaborate with stakeholders to translate requirements into robust technical outcomes.

You will work with cloud platforms and MLOps tooling, ensuring governance and data privacy while delivering high-impact results in a fast-paced environment.

Qualifications

• Degree in CS/Engineering/Data Science (or related field).
• 8+ years in software or data engineering with 3+ years building AI/ML in production.
• Strong Python skills; Java/Scala a plus; REST APIs and microservices experience.
• Hands-on with ML frameworks: PyTorch, TensorFlow or scikit-learn.
• Experience with LLMs and GenAI tooling (LangChain, LlamaIndex, vector stores, prompt engineering).
• Experience with AWS/Azure/GCP and containers (Docker, Kubernetes).
• Experience with MLOps (MLflow, Kubeflow), CI/CD and monitoring.
• Proven leadership or mentoring of technical teams; strong communication.

Responsibilities

• Lead and mentor data/AI engineering teams.
• Architect and deliver production AI/ML solutions.
• Collaborate with stakeholders to explain complex technical topics.
• Ensure data governance and privacy considerations in solutions.

Skills

Python

REST APIs

Microservices

ML frameworks

GenAI tooling

Cloud platforms

Docker

Kubernetes

MLOps

CI/CD

Monitoring

Team leadership

Communication

GenAI / LLMs

Data governance

Education

Bachelor’s or Master’s degree in CS/Engineering/Data Science

Bachelor’s or Master’s degree in CS/Data Science/Engineering/Statistics

Tools

Spark

Databricks

Snowflake

Kafka

PyTorch

TensorFlow

scikit-learn

LangChain

LlamaIndex

MLflow

Kubeflow

Job description

Optimum Solutions Pte Ltd in Singapore is seeking a senior AI/ML Platform Engineer to lead production AI/ML initiatives and mentor a technical team. You will architect scalable data/AI solutions, implement GenAI capabilities, and collaborate with stakeholders to translate requirements into robust technical outcomes.

You will work with cloud platforms and MLOps tooling, ensuring governance and data privacy while delivering high-impact results in a fast-paced environment.