ZipRecruiter

Log In

1

Mlflow Jobs in Springfield, MA (NOW HIRING)

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

The Hartford

Staff Software Engineer - AI

Hartford, CT

$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
Infographic showing various Mlflow job openings in Springfield, MA as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Data Engineer

Bespoke Labs

Hartford, CT • On-site

$115K - $138K/yr

Full-time

Posted 11 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Apply