**Position: **Data Engineer (AI / ML) Level: Senior **Experience: **10+ years (NOT freelancing) **Stack: **GCP Vertex AI, Amazon SageMaker, NVIDIA Triton Inference Server, K8S, Python, ETL, Airbyte, Data Modeling **Location: **Remote **Employment: **Fulltime Citizenship: Russia, Belarus, Ukraine Timezone: UTC+5 - UTC+1 Languages: English C1, Russian C2 **Company: **ITM **Salary: **$8,000 - $12,000 gross per month

WHO WE ARE LOOKING FOR:

1. Data Engineer with experience in AI infrastructure on AWS and GCP. 2. We need “working hands,” NOT a technical manager.
2. We need someone fully meeting our expectations, NOT someone who learns on the go.
3. With knowledge of spoken English (English-speaking team).

WHO IS NOT A GOOD FIT:

1. Candidates with predominant or last experience in technical manager roles: Team Lead, CTO, etc. – this is irrelevant experience for this position. We are looking for “working hands,” NOT a technical manager.
2. Candidates with predominant or last freelance experience.
3. Candidates with a low level of spoken English.

REQUIREMENTS:

1. 6+ years of experience as a Data Engineer. 2. 2+ years of experience with AI infrastructure on GCP and AWS.
2. 4+ years of experience with ML. 4. 3+ years of experience with GCP Vertex AI (GEAP).
3. 2+ years of experience with Amazon SageMaker. **6. 5+ years of experience with Kubernetes. **
4. 8+ years of experience with Python.
5. SPOKEN English at C1+ level.

MAIN TASK: Ensure seamless integrations (hundreds of integrations) in the AI sphere, their reliability, and high performance.

WE OFFER:

1. Competitive salary.
2. Fully remote.
3. Flexible working hours: one team in Kazakhstan works on UTC+5, the second team in the UK works on UTC+1. Interaction with both teams.
4. Work in a product company.

SELECTION STAGES INCLUDE:

1. Real-time coding session with screen sharing.
2. Due diligence.