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Virtual Aws Machine Learning Jobs in Springfield, MA

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

Senior AI Machine Learning Engineer

Hartford, CT · Hybrid

$123K - $162K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and ... Development experience using both the AWS and GCP suite of tools. * Familiarity with SageMaker ...

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations ... Development experience developing solutions within AWS, GCP or both. * Experience developing ...

Senior AI Machine Learning Engineer

Hartford, CT · On-site

$123K - $162K/yr

The Hartfordis seeking aSenior AI Machine Learning Engineerwithin Employee Benefits Applied AI and ... Deploy and sustain production AI services, jobs, APIs, and workflows in AWS and GCP environments ...

Senior Data Engineer

Bloomfield, CT · On-site

$105K - $143K/yr

Understanding of Machine learning frame works (e.g. Scikit learning, Scipy) * Understanding and 1+ ... Nice to have AWS solution architecture and developer certification * Nice to have data science and ...

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Developing and applying analytics, machine learning, and data science techniques to cyber use cases ... Working with technologies such as Databricks for Cyber, AWS Security Lake, Google SecOps, Splunk ...

Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS, including Amazon Bedrock, Amazon SageMaker, or autonomous agent frameworks * Experience with AI/ML ...

Required : • Work Experience in SageMaker Knowledge in setting up CI/CD aws code pipeline for Machine Learning Models (Preferably in Cloud) • Dockers, Container Orchestration, ML Model Deployment ...

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

The Hartford is developing industry-leading AI and machine learning capabilities to improve ... Familiarity with AWS and/or GCP cloud services. * Experience with source control systems such as ...

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

The role involves building, training, validating, and deploying machine learning models, as well as ... GCP, AWS) and hands-on cloud experience • Intermediate experience with MLOps, DevOps, and ...

AI Engineer

Hartford, CT · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

GenAI Lead

Hartford, CT · On-site

$55.75 - $76.50/hr

Lead the design development and deployment of machine learning and GenAI models in collaboration ... Strong experience with cloud platforms (preferably Google Cloud Platform but AWS or Azure also ...

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Machine Learning Engineer

Bespoke Labs

Hartford, CT • On-site

Full-time

Re-posted yesterday


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 ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination