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Mlflow Jobs (NOW HIRING)

Implement MLflow for parameters, metrics, artifact management, and end to end lineage. Build and maintain scalable data pipelines for training, validation, and inference processes. Develop custom ...

Databricks Architect

$66.25 - $87/hr

Expert in Databricks Lakehouse (Delta Lake, Unity Catalog, MLflow), AWS, Snowflake, and Apache Iceberg. * Strong MLOps & CI/CD Expertise * Proficient in Python/Scala (Spark) for data governance ...

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 ...

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

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 ...

$56 - $72.25/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 ...

Data Engineer with AI - Remote

Boston, MA · On-site +1

$124K - $149K/yr

Enable ML/AI: feature engineering, MLflow experiment tracking, model registries, and model/feature serving; support RAG pipelines (embeddings, vector stores). * Establish data quality checks (e.g ...

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Mlflow information

Is ML a high paying job?

Machine Learning (ML) roles are generally considered high-paying within the tech industry due to the specialized skills required, such as programming, data analysis, and knowledge of ML frameworks like TensorFlow or PyTorch. Salaries vary based on experience, location, and company size but tend to be above average compared to many other tech positions.

What companies use MLflow?

Many organizations across industries use MLflow for managing machine learning workflows, including companies like Databricks, Microsoft, and Amazon. These companies leverage MLflow's capabilities for experiment tracking, model deployment, and reproducibility in their AI and data science projects.

Is MLflow still popular?

MLflow remains a widely used open-source platform for managing the machine learning lifecycle, including experiment tracking, model versioning, and deployment. Its popularity is supported by its integration with major ML frameworks and cloud services, making it a valuable skill for data scientists and ML engineers. The demand for expertise in MLflow continues to grow as organizations adopt MLOps practices.

Which 5 jobs will survive AI?

Jobs involving MLflow, such as data scientists, machine learning engineers, AI researchers, data engineers, and MLops specialists, are likely to persist as AI advances because they require specialized skills in developing, deploying, and managing AI models. These roles demand expertise in programming, data handling, and understanding complex algorithms, making them less susceptible to automation. Continuous learning and proficiency with tools like MLflow can enhance job security in these fields.

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 July 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.
Senior AWS AI / Data Engineer

Senior AWS AI / Data Engineer

Reliable Software Resources

Detroit, MI • On-site

Other

Re-posted 28 days ago


Job description

Data Scientist – Technical Lead

Location :  onsite Austin, TX / Tampa, Florida

Duration :  Full Time Employment    

Job Description             

Experience Range:

  • 8+ years in data science or applied ML roles
  • 3+ years in CPG, FMCG, or retail analytics

Tech Stack Snapshot –

  • Hands-on Databricks experience in production
  • Strong Python — pandas, PySpark, scikit-learn
  • Experience with Azure ML or Azure ecosystem
  • MLflow or equivalent experiment tracking tool

Role Summary:

As Lead Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for CPG portfolios on Databricks (Azure). You will work closely with commercial, supply chain, and engineering teams to build ML solutions that improve forecast accuracy, reduce inventory waste, and support revenue growth. You bring deep ML expertise, strong Python engineering skills, and a nuanced understanding of CPG market dynamics — and you are comfortable translating complex model outputs into clear business recommendations.

Primary Skills:

  • 3+ years of experience in Databricks in production
  • 5+ years of experience in Python — pandas, PySpark, scikit-learn
  • 5+ years of experience with Azure ML or Azure ecosystem
  • 3+ years of experience in MLflow or equivalent experiment tracking tool
  • 5+ years of experience in Supervised, unspervised machine learning algorithms, forecasting and inventory optimization
  • 5+ yeras of experience in deep learning algorithms applying to solve forecasting, regression and classification problems
  • 3+ years of experience in buidling ML models in CPG industry

Best Regards

Abdul Samad