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Lead AI/ML Engineer

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Onsite

Lead AI/ML Engineer

Omobio

Lead AI/ML Engineer

Skills

Google Cloud PlatformData EngineeringPythonTesting & QAPyTorchTensorFlowPostgreSQLMySQLMariaDBGitMachine LearningAIAWSApache AirflowAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Kalutara, Sri Lanka

Work mode:

Onsite

Published on:

14 August 2026

What they need


Role Summary

AI/ML Lead with strong foundations in both software engineering and AI/ML, capable of designing end-to-end solution architectures, leading a technical team, and supporting pre-sales as a technical SME.

Technical Skills

  • Strong Python skills – clean, maintainable, production-grade code.
  • Hands-on with data pipelines (Airflow, Spark) and databases (MySQL, PostgreSQL, MariaDB), including pipeline and schema design.
  • Strong DSA fundamentals; practical experience with ML frameworks (scikit-learn, TensorFlow/PyTorch) and model selection guidance.
  • Solid MLOps understanding – lifecycle, CI/CD, deployment, monitoring.
  • Git/version control workflow ownership for the team.
  • knowledge of On-Prem deployments and cloud platforms (AWS/GCP/Azure), especially ML-relevant services.
  • Frontend/backend/mobile exposure for integration decisions; fraud/anomaly/risk-scoring knowledge is a plus.

Architecture & Solution Design

  • Design end-to-end AI/ML solution architectures (data, pipelines, training/serving, monitoring).
  • Translate business requirements into architecture, tech stack choices, and trade-off analysis.
  • Account for scalability, reliability, security, and cost.
  • Make build-vs-buy-vs-integrate decisions for ML components/tools.
  • Combine SE components (APIs, services, DBs) with ML components in solution design.

Leadership & Delivery

  • Lead, mentor, and grow a team of AI/ML and SE engineers.
  • Own planning, estimation, sprint/release management, and quality/coding standards.
  • Review and ensure quality of team deliverables.
  • Collaborate with Product, QA, DevOps, Design, and Business stakeholders.

Pre-Sales & Client Engagement

  • Act as technical SME in pre-sales discussions, scoping calls, and client meetings.
  • Prepare technical proposals, solution architectures, and effort/cost estimates.
  • Present solutions/POCs to clients and leadership.

Experience

  • 5+ years in AI/ML, data engineering, or SE with ML components.
  • Prior lead/architect-level experience strongly preferred.

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