Job description

Responsibilities Develop scalable data pipelines, reports, and automation workflows Collaborate with data engineers, product teams, and stakeholders to deliver end-to-end solutions Maintain model performance, observability, and reliability in production environments Contribute to best practices, documentation, and knowledge sharing across the team Build, train, and optimize machine learning models for real-world business problems Deploy and monitor ML models using modern MLOps tools and frameworks What’s in it for you Competitive salary + performance bonus Hybrid working model with flexible hours Annual learning & development budget (certifications, courses, conferences) Cutting-edge tech stack and the freedom to influence tooling decisions A supportive, collaborative culture where your ideas genuinely shape the roadmap Must-Haves Strong hands-on experience with Power BI/Tableau Proven track record of designing dashboards for business stakeholders SQL and Python coding experience Nice-to-Haves Strong experience in common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI)

Requirements

Must-haves

Develop scalable data pipelines, reports, and automation workflows
Collaborate with data engineers, product teams, and stakeholders to deliver end-to-end solutions
Maintain model performance, observability, and reliability in production environments
Contribute to best practices, documentation, and knowledge sharing across the team
Build, train, and optimize machine learning models for real-world business problems
Deploy and monitor ML models using modern MLOps tools and frameworks
What’s in it for you
Hybrid working model with flexible hours
Annual learning & development budget (certifications, courses, conferences)
Cutting-edge tech stack and the freedom to influence tooling decisions
A supportive, collaborative culture where your ideas genuinely shape the roadmap
Strong hands-on experience with Power BI/Tableau
Proven track record of designing dashboards for business stakeholders
SQL and Python coding experience

Nice-to-haves

Competitive salary + performance bonus
Strong experience in common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
Hands-on experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningmlsqlpythonai

Platform: careers-page
Effort: medium