Mid AI Engineer

TensorOps is hiring a Mid AI Engineer. This is a remote job – you can work from home in Sri Lanka for a company abroad.

Job summary

• Post: Mid AI Engineer
• Employer: TensorOps
• Where: Remote – open to Worldwide (includes Sri Lanka)
• Job type: Full-time
• Level: Mid-level
• Apply by: 29 December 2026 (or until the post is filled)

About this kind of job

Technical posts are about installing, checking and repairing equipment or supervising work on site. Safety, practical skill and the ability to solve problems quickly matter most.

What the employer offers

• 100% Remote Work: no mandatory office days, work from wherever
• Funded certifications: fully paid AWS and GCP professional certifications
• Dynamic, High-Impact Projects: Work on cutting-edge ML and GenAI solutions across diverse industries
• International Clients: Collaborate with global organizations and solve real-world challenges at scale
• Urban Sports Club Membership: Supporting your physical and mental wellbeing
• Monthly Bolt Credits: For rides

Working remotely from Sri Lanka

• You need a laptop, a stable internet connection and good written English.
• Check the working hours (time zone) and how you will be paid (for example bank transfer, Payoneer or Wise) before you accept an offer.
• Foreign income received through banks in Sri Lanka may have tax rules – keep your payment records.

Tip from JobPortal

Mention your NVQ, diploma or degree and the machines, tools or projects you have worked with. Apply only through the official link and never pay money to get a job.

Source

This listing comes from Himalayas. Read the full original advert and apply there.

• 2+ years of professional experience in Machine Learning, AI Engineering, or a related role (Mid-level) / 5+ years for Senior
• Strong hands-on skills in Python, writing clean, efficient, well-documented, production-quality code
• Proven experience designing, training, optimizing, and deploying ML models independently (e.g., PyTorch, TensorFlow, Scikit-learn)
• Experience building GenAI & LLM systems: RAG pipelines, chatbot architectures, and applications using tools like LangChain
• Familiarity with MLOps & production ML practices: model versioning, monitoring, CI/CD for ML workflows
• Experience deploying and scaling ML systems on AWS, GCP, or Azure
• Strong performance optimization and debugging skills (diagnosing complex issues and improving system reliability and efficiency)
• Experience working with stakeholders or clients is a plus