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Mosaic Ml Jobs (NOW HIRING)

Unison Group

Databricks Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

Optimize ETL, streaming, and ML workloads for performance, cost efficiency, and reliability ... Collaborate with customers to build AI and LLM solutions leveraging MLflow, DBRX, and Mosaic AI.

UNISON Group

Databricks Data Architect

Charlotte, NC · On-site

$62.25 - $80/hr

Optimize ETL, streaming, and ML workloads for performance, cost efficiency, and reliability ... Collaborate with customers to build AI and LLM solutions leveraging MLflow, DBRX, and Mosaic AI.

Unison Group

Databricks Data Architect

California City, CA · On-site

$78.25 - $100.50/hr

Optimize ETL, streaming, and ML workloads for performance, cost efficiency, and reliability ... Collaborate with customers to build AI and LLM solutions leveraging MLflow, DBRX, and Mosaic AI.

Unison Group

Databricks Data Architect

Charlotte, NC · On-site

$62.25 - $80/hr

Optimize ETL, streaming, and ML workloads for performance, cost efficiency, and reliability ... Collaborate with customers to build AI and LLM solutions leveraging MLflow, DBRX, and Mosaic AI.

Unison Group

Databricks Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

Optimize ETL, streaming, and ML workloads for performance, cost efficiency, and reliability ... Collaborate with customers to build AI and LLM solutions leveraging MLflow, DBRX, and Mosaic AI.

Nebius

System Engineer (Token Factory)

CUDA, ROCm, CUTLASS, Cute, ThunderKittens, Triton, Pallas, Mosaic GPU * Familiarity with ML inference runtimes (e.g. TensorRT, TVM) * Knowledge of Linux internals, drivers, or compiler toolchains

Apple

Senior Machine Learning Engineer

Cupertino, CA · On-site

$128K - $177K/yr

Parquet, Iceberg, Delta, or Lance Distributed data loading frameworks for ML: Ray Data, NVIDIA DALI, WebDataset, or Mosaic StreamingDataset Performance engineering for I/O-bound workloads - Arrow ...

The Subway

Sr Data Engineer

Shelton, CT · On-site

$114K - $137K/yr

Build GenAI and ML enablement patterns (RAG, feature stores, semantic layers) using Databricks Mosaic AI or Snowflake Cortex. * Partner with Data Science and Analytics teams to operationalize models ...

subway

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

Build GenAI and ML enablement patterns (RAG, feature stores, semantic layers) using Databricks Mosaic AI or Snowflake Cortex. * Partner with Data Science and Analytics teams to operationalize models ...

subway

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

Build GenAI and ML enablement patterns (RAG, feature stores, semantic layers) using Databricks Mosaic AI or Snowflake Cortex. * Partner with Data Science and Analytics teams to operationalize models ...

subway

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

Build GenAI and ML enablement patterns (RAG, feature stores, semantic layers) using Databricks Mosaic AI or Snowflake Cortex. * Partner with Data Science and Analytics teams to operationalize models ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Build GenAI and ML enablement patterns (RAG, feature stores, semantic layers) using Databricks Mosaic AI or Snowflake Cortex. * Partner with Data Science and Analytics teams to operationalize models ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Build GenAI and ML enablement patterns (RAG, feature stores, semantic layers) using Databricks Mosaic AI or Snowflake Cortex. * Partner with Data Science and Analytics teams to operationalize models ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Build GenAI and ML enablement patterns (RAG, feature stores, semantic layers) using Databricks Mosaic AI or Snowflake Cortex. * Partner with Data Science and Analytics teams to operationalize models ...

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Mosaic Ml information

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$59.5K

$111.6K

$203K

How much do mosaic ml jobs pay per year?

As of Sep 12, 2026, the average yearly pay for mosaic ml in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What is Mosaic ML?

Mosaic ML is a company that specializes in developing tools and infrastructure to make training large-scale machine learning models more efficient, affordable, and accessible. They provide a platform and software suite that allows organizations to customize, train, and deploy state-of-the-art AI models, including large language models (LLMs), without the massive computational resources typically required. Mosaic ML focuses on optimization techniques that reduce training time and cost, making advanced AI more attainable for businesses and research teams. Their technology is used across industries for tasks like natural language processing, computer vision, and generative AI applications.

How does a Mosaic ML engineer typically collaborate with data scientists and product teams during a project?

Mosaic ML engineers work closely with data scientists to design, scale, and optimize machine learning models, ensuring they meet both technical and business requirements. They frequently participate in cross-functional meetings to align model development with product objectives, while also translating complex technical concepts for non-technical stakeholders. Collaboration often involves iterative feedback, code reviews, and the joint troubleshooting of model deployment issues, fostering a dynamic and supportive team environment. This teamwork not only accelerates project delivery but also offers engineers valuable exposure to different perspectives and skill sets.

What are the key skills and qualifications needed to thrive as a machine learning engineer at Mosaic ML, and why are they important?

To thrive as a Machine Learning Engineer at MosaicML, you need a strong background in computer science, statistics, and deep learning, often supported by a relevant degree and experience with large-scale model training. Familiarity with ML frameworks such as PyTorch or TensorFlow, distributed computing systems, and version control tools like Git is typically required. Strong problem-solving skills, teamwork, and effective communication help you collaborate and adapt in a fast-evolving field. These skills are crucial for building efficient machine learning systems and contributing to innovative AI research and deployment.

What is the difference between Mosaic Ml vs Data Analyst?

AspectMosaic MlData Analyst
Required CredentialsTypically requires machine learning, data science, or related certificationsOften requires statistics, data analysis, or business intelligence certifications
Work EnvironmentFocuses on developing ML models, coding, and algorithm optimizationInvolves data interpretation, reporting, and business insights
Employer & Industry UsageUsed in tech, finance, and data-driven companies for predictive modelingCommon across various industries for data reporting and decision support

While both roles work with data, Mosaic Ml primarily focuses on building and deploying machine learning models, requiring coding and algorithm skills. Data Analysts interpret data and generate reports to support business decisions. Understanding these differences helps in choosing the right career path or job search focus.

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Mosaic Ml jobs near you
Infographic showing various Mosaic Ml job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 94% Full Time, 2% Part Time, and 2% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.

Databricks Data Architect

Austin, TX • On-site

Unison Group
See more jobs at Unison Groupexternal

$63.25 - $81.25/hr

Full-time

Posted 18 days ago

Job description

  • We’re seeking a hands-on experience in Databricks with deep technical expertise in building and optimizing Lakehouse-based data and AI solutions.
  • In this role, you’ll design, develop, and operationalize Delta Lakehouse architectures using Databricks, driving real-world outcomes for enterprise customers. You’ll take ownership of implementation tasks, lead technical delivery, and mentor engineering teams in best practices across data engineering, governance, and AI.

Key Responsibilities

  • Design and implement scalable data pipelines using Delta Live Tables (DLT), Spark SQL, Python, or Scala.
  • Optimize ETL, streaming, and ML workloads for performance, cost efficiency, and reliability.
  • Administer and configure Databricks Workspaces, Unity Catalog, and cluster policies for secure, governed environments.
  • Automate infrastructure and deployments using Terraform, Git, and CI/CD pipelines.
  • Implement observability, cost optimization, and monitoring frameworks using tools like Splunk, Prometheus, or CloudWatch.
  • Collaborate with customers to build AI and LLM solutions leveraging MLflow, DBRX, and Mosaic AI.

Work Location: Singapore

Requirements

Required Skills & Experience

  • Strong hands-on experience with Databricks, including workspace setup, notebooks, clusters, and job orchestration.
  • Expertise in Delta Lake, DLT, Unity Catalog, and SQL Warehouses.
  • Proficiency in Python or Scala for data engineering and ML workflows.
  • Strong understanding of AWS, Azure, or GCP cloud ecosystems.
  • Experience with Terraform automation, DevOps, and MLOps practices.
  • Familiarity with monitoring and governance frameworks for large-scale data platforms.

Good to Have Skills:

  • Machine Learning, Deep Learning, NLP, or Generative AI
  • Designing distributed and scalable systems
  • API-first and microservices architecture
  • Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • MLOps tools (MLflow, Kubeflow, SageMaker, etc.)
  • Data platforms (Spark, Databricks, Snowflake)