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Mlflow Jobs (NOW HIRING)

Deploy ML models into production using MLflow, Databricks Workflows, or other MLOps pipelines. Build analytics solutions such as forecasting, anomaly detection, segmentation, or recommendation ...

Deploy ML models into production using MLflow, Databricks Workflows, or other MLOps pipelines. * Build analytics solutions such as forecasting, anomaly detection, segmentation, or recommendation ...

Senior DevOps Engineer

Rocklin, CA · On-site

$135K - $174K/yr

This role will also contribute to the implementation of AI-based solutions within on-premises environments , with a focus on model serving, MLflow tracking, and automated deployment pipelines. Key ...

... MLflow, Azure AI Search, OpenAI/GenAI, Python, and SQL , driving 98-99%+ extraction accuracy across complex supply-chain and procurement documents through advanced machine learning, document ...

Solutions Architect - Public Sector (SLED)

$64.50 - $85/hr

As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you ...

AI/ML Architect

Los Angeles, CA · On-site

$68.75 - $88.25/hr

Deploy ML models into production using MLflow, Databricks Workflows, or other MLOps pipelines. * Build analytics solutions such as forecasting, anomaly detection, segmentation, or recommendation ...

AI Ops

Dallas, TX · On-site

$129K - $165K/yr

Configure MLflow experiment tracking for auto-logging of parameters, metrics, and artifacts. * Set up identity and access management using Okta SSO, SailPoint entitlements, and persona-based ...

Expert AI/ML Engineer

Oakland, CA · On-site

  • Medical

  • Dental

MLflow, Azure ML, Dataiku, model registry, CI/CD, GitHub Actions * Data Platforms: Snowflake, Azure SQL, Oracle, data lakes, cloud data platforms * AI/GenAI: LLMs, prompt engineering, RAG, semantic ...

MLOps

Plano, TX · On-site

Configure MLflow experiment tracking -- auto-logging of parameters, metrics, and artifacts * Set up identity and access management -- Okta SSO, SailPoint entitlements, persona-based execution roles ...

Data Bricks Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Databricks Lakehouse architecture and Delta Lake, MLflow (tracking, registry, deployment workflow), Lakeflow (pipeline and workflow patterns), Databricks Feature Store, Unity Catalog (governance ...

Showing results 41-60

Mlflow information

What is the difference between Mlflow vs Data Scientist?

AspectMlflowData Scientist
Required CredentialsKnowledge of machine learning tools, Python, and data managementDegree in Data Science, Statistics, or related field; programming skills
Work EnvironmentData science teams, machine learning projects, software developmentResearch, data analysis, model development, cross-functional teams
Employer & Industry UsageTech companies, AI startups, data-driven organizationsVarious industries including tech, finance, healthcare, and retail

While Mlflow is a platform for managing the machine learning lifecycle, a Data Scientist focuses on analyzing data and building models. Mlflow tools support Data Scientists in tracking experiments, but the roles differ in scope and responsibilities.

More about Mlflow jobs

What cities are hiring for Mlflow jobs?

Cities with the most Mlflow job openings:

What states have the most Mlflow jobs?

States with the most job openings for Mlflow jobs include:

Infographic showing various Mlflow job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, 25% Temporary, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution.

Staff Backend Software Engineer- (AI Platform)

Databricks

San Francisco, CA • On-site

Full-time

Re-posted 21 days ago


Job description

Job Summary:
Databricks is a data and AI company focused on enabling data and AI teams to solve complex problems. The Staff Backend Software Engineer will build infrastructure for AI applications, improve the performance of distributed AI workloads, and collaborate with various teams to enhance user experiences with AI on the Databricks platform.
Responsibilities:
• Build infrastructure that powers our flagship offerings like MLflow, AI Gateway, Databricks Apps, Agent Framework, Agent Bricks, and Foundation Model APIs, to state a few.
• Improve reliability, latency, and efficiency of distributed AI workloads
• Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences
• Shape how developers and data scientists build and interact with AI on Databricks
Qualifications:
Required:
• 5+ years of experience in backend or infrastructure engineering
• Strong programming skills in Scala, Go, or Python
• Experience with distributed systems, scalable APIs, or cloud-native infrastructure
• Familiarity with service-oriented architecture, deployment pipelines, and system observability
• Strong product and ownership mindset — you care about building the right solution, not just any solution
Preferred:
• Experience with real-time serving, ML infrastructure, or GPU orchestration
• Exposure to platforms like SageMaker, Vertex AI, or Azure ML
• Contributions to OSS projects like MLflow, PyTorch, or Ray
• Built developer platforms or internal tools supporting AI workflows
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.