Senior Machine Learning Engineer – Databricks
MUTT DATA
Posted: 10/19/2026AzurePythonSQLUnity
Machine Learning Engineer – Contract
Tech Holding
Posted: 10/13/2026AWSAzureDockerGoogle Cloud PlatformPythonPyTorchTensorflow
Senior Machine Learning Engineer – Databricks
MUTT DATA
Posted: 10/9/2026AzurePythonSQLUnity
Senior Machine Learning Engineer
MUTT DATA
Posted: 10/7/2026AzurePythonSQLUnity
AI/ML Engineer
MezTal
Posted: 9/22/2026
Senior Machine Learning Architect – AWS
Coderio
Posted: 9/21/2026AWSCloud
Senior Machine Learning Engineer
BBVA
Posted: 9/21/2026AWSAzureGoogle Cloud PlatformPythonSpark
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in orchestrating data and ML pipelines using Databricks, managing deployments, and maintaining production environments. Proficient in CI/CD practices and infrastructure as code, with a strong focus on code quality and collaboration across teams.
Highest-signal resume keywords
Databricks Pipeline OrchestrationCI/CD ExperienceInfrastructure As CodeAdvanced PythonSQL
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Orchestrate production pipelines on Databricks Jobs, chaining tasks via depends_on and managing failure modes (ALL_SUCCESS / ALL_DONE)
- Configure and maintain deployments via Databricks Asset Bundles (DABs), promoting across dev → qa → prd targets, with resource/deployment files per country
- Manage the lifecycle of models and artifacts in MLflow + Unity Catalog, including registration, versioning, Champion/Challenger aliases, and rollback
- Manage compute across workspaces
- Standardize cost-monitoring tags (FinOps)
- Integrate with AIOps/observability
- Master the product end-to-end to diagnose runtime incidents
- Coordinate with development squads and platform teams
- Keep production pipelines healthy across environments
Requirements
What you’ll need- Proven experience orchestrating data/ML pipelines on Databricks (Jobs, Workflows, cluster policies)
- Solid CI/CD experience (Azure DevOps, gitflow, PRs)
- Infrastructure as code with Databricks Asset Bundles (DABs)
- Code quality standards: black, isort, mypy
- Advanced Python, SQL, Delta / Unity Catalog
- Experience working with Large Language Models (LLMs) is nice to have
- Knowledge of AI agents and agentic systems is nice to have
- Familiarity with MLOps practices and tools is nice to have
- Experience deploying and maintaining Data Science and AI solutions in production environments is nice to have
- Knowledge of job orchestration, computing infrastructure, deployments, monitoring, and maintenance is nice to have
- Experience working with event data, user tracking, and application tagging is nice to have
- Ability to collaborate effectively with Product, Engineering, and Business teams is nice to have
Benefits
Comp & perks- Remote-first culture – work from anywhere
- AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- Birthday off + an extra vacation week (Mutt Week!)
- Referral bonuses
- Maslow: Monthly credits to spend in our benefits marketplace
- Annual Mutters' Trip – an unforgettable getaway with the team
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Databricks JobsDatabricks Asset BundlesMLflowUnity CatalogDeltaPythonSQLCode Quality StandardsJob OrchestrationMLOps Practices
Soft Skills
CollaborationCommunication
Tools & Technologies
Azure DevOpsGitflowAIOpsObservability
Industry Keywords
FinOpsData ScienceAI SolutionsLarge Language ModelsEvent Data