Jobs Ukraine, ML / AI

We are hiring a Senior Data Engineer / Data Platform Engineer to join an innovative healthcare project focused on optimizing administrative workflows for medical institutions.

Doctors currently need to log into 20–30 different systems to ensure treatments are properly covered by insurance companies. The client’s solution aggregates and synchronizes data across these systems, significantly reducing manual effort and processing time.

The product is funded by insurance companies — neither doctors nor patients pay for it. The environment is dynamic, high-impact, and technically demanding, with strong focus on data reliability and scalability.

Key Responsibilities

• Own and maintain Airflow pipelines (DAG design, orchestration, monitoring, optimization)

• Build and maintain dbt models in Snowflake, ensuring reliable and scalable transformations

• Maintain and improve Python-based ETL services

• Develop and support production Flask-based data APIs

• Work with async processing workflows (Celery, Redis, background tasks)

• Support AI/ML/LLM-powered data pipelines and workflows

• Improve system reliability, monitoring, and observability

• Troubleshoot and resolve production issues

Must-Have Requirements

Data & Backend Engineering

• 5–8+ years of experience in data engineering, data platform, or backend-heavy data roles

• Strong SQL and Python skills

• Comfortable debugging and supporting production systems

Data Stack

• Deep hands-on experience with dbt

• Strong experience with Snowflake

• Experience maintaining and optimizing Airflow DAGs

• Experience building or maintaining production Flask applications

Async & Distributed Systems

• Experience with distributed task queues (e.g., Celery or similar)

• Familiarity with Redis

• Understanding of async processing patterns

Cloud & Infrastructure

• Experience operating in AWS (S3, ECS, Lambda, etc.)

• Experience improving monitoring, logging, and reliability

Mindset

• Comfortable working from high-level requirements

• Able to operate in ambiguous, fast-evolving environments

• Ownership mindset and proactive problem-solving approach

Interview Process

HR Interview → Technical Interview → Client Interview → Offer

For a client based in Frankfurt, we are looking for a Senior Cloud Engineer (AI/ML) to support the further development and optimization of an enterprise Data & AI platform.

Project Details

• Start: ASAP

• Duration: 6 months (extension possible)

• Workload: Full-time preferred

• Location: Remote within Europe (including Ukraine)

• Language: English

Role Overview

You will work on the enhancement of an existing Data & AI platform, enabling teams to efficiently build and operate both classical and Generative AI use cases.

The role combines cloud architecture, Kubernetes engineering, DevOps practices, and AI/ML platform management.

This is a senior-level, hands-on position requiring strong Azure and AKS expertise.

Key Responsibilities

• Develop and optimize the existing Data & AI platform

• Design and implement platform features based on architectural standards

• Manage and enhance the AI/ML framework on AKS

• Execute POCs for new features and technologies

• Improve platform robustness, scalability, and security

• Collaborate closely with architects and coach technical team members

• Analyze and resolve platform-related customer requests

• Document and test implemented features

Mandatory Experience (Must-Have)Cloud & Kubernetes

• Strong expertise in Azure Cloud

• Deep hands-on experience with AKS (Azure Kubernetes Service)

• Experience with managed Kubernetes environments

• Experience with Azure Machine Learning

• Experience with Azure OpenAI

• Hands-on exposure to Databricks ML components

• Infrastructure-as-Code using Terraform

• CI/CD tools: Azure DevOps or GitHub Actions

• Observability tools (Prometheus, Grafana, Elastic)

• Bash scripting

• Strong understanding of cloud security, RBAC, IAM

 Programming

• Experience with Python, Go, or Rust

 Important

This is a senior-level engineering role requiring strong hands-on experience with Azure, AKS, and AI platform technologies.

We are considering candidates based in Europe and Ukraine.

 Hiring Process

1️⃣ Recruiter screening call
2️⃣ HR interview
3️⃣ Technical interview with the client
4️⃣ Offer