Omobio
Lead AI/ML Engineer
Skills
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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