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Mlflow Jobs in Springfield, MA (NOW HIRING)

Sunrise Systems, Inc.

Databricks Architect/Admin

Hartford, CT · On-site

$65.25 - $85.75/hr

Knowledge of MLflow, AutoML, AI/ML concepts, and automation frameworks * Experience with Oracle, Git, Jira, ServiceNow, and ETL tools like Fivetran/Ab Initio Preferred: * Experience with Generative ...

Dahl Consulting

Databricks Architect/Admin

Hartford, CT · On-site

$50 - $62/hr

Support ML/AI enablement on Databricks (e.g., MLflow, AutoML, Model Serving) and evaluate emerging capabilities, including GenAI/LLM workflows. * Serve as an escalation point for Databricks platform ...

Bespoke Labs

Data Engineer

Hartford, CT

$115K - $138K/yr

... MLflow, W&B, or similar) Comfortable with Docker and cloud infrastructure (AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

... MLflow, W&B, or similar) Comfortable with Docker and cloud infrastructure (AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Springfield, MA · On-site

$114K - $136K/yr

... MLflow, W&B, or similar) Comfortable with Docker and cloud infrastructure (AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Springfield, MA

$114K - $136K/yr

... MLflow, W&B, or similar) Comfortable with Docker and cloud infrastructure (AWS or GCP) Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

The Hartford

Staff Software Engineer - AI

Hartford, CT · On-site

$127K - $191K/yr

Familiarity withMLOpstools and practices (e.g., MLflow, Kubeflow, Docker for CI/CD). * Solid knowledge ofdata structures,algorithms, andsoftware engineering principles. * Experience with agent ...

All JobsMlflow JobsMlflow Jobs in Springfield, MA

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.

What are popular job titles related to Mlflow jobs in Springfield, MA? For Mlflow jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Mlflow jobs in Springfield, MA look for? The top searched job categories for Mlflow jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Mlflow jobs? Cities near Springfield, MA with the most Mlflow job openings:
Mlflow jobs near you
Databricks Architect/Admin

Databricks Architect/Admin

Sunrise Systems, Inc.

Hartford, CT • On-site

$65.25 - $85.75/hr

Other

Posted 7 days ago

Job description

Title: Databricks Architect/Admin Job ID: 26-02481 Location: Hartford, CT (Hybrid) Type: Full-Time
Seeking a senior Databricks Architect/Admin with strong expertise in Databricks platform administration, automation, pipelines, and cost optimization. This role is more consultative and will support an established Databricks team with platform architecture, forecasting, automation, and operational improvements.
Key Responsibilities:
  • Architect and manage Databricks environments, Unity Catalog, and Delta Lake
  • Design and optimize data pipelines, workflows, and automation frameworks
  • Monitor DBU usage, forecasting, and cost optimization strategies
  • Support Unix/Linux administration, shell scripting, and platform operations
  • Collaborate with Data Engineering, Analytics, Infrastructure, and Security teams
  • Implement governance, monitoring, HA/DR, and compliance best practices

Required Skills:
  • 7+ years in Data Engineering/Data Platforms with 4+ years of Databricks experience
  • Expertise in Databricks, PySpark, Python, Delta Lake, DLT, and SQL Warehouses
  • Strong Unix/Linux administration and Bash scripting experience
  • Experience with AWS/Azure/Google Cloud Platform cloud platforms
  • Knowledge of MLflow, AutoML, AI/ML concepts, and automation frameworks
  • Experience with Oracle, Git, Jira, ServiceNow, and ETL tools like Fivetran/Ab Initio

Preferred:
  • Experience with Generative AI/LLM workflows
  • Terraform/Ansible and enterprise orchestration tools
  • Insurance or financial domain experience.

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