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Remote Java Machine Learning Jobs in Chicopee, MA

DataAnnotation

QA Engineer - AI Trainer

Springfield, MA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Springfield, MA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

All JobsRemote Java Machine Learning JobsRemote Java Machine Learning Jobs in Chicopee, MA

Remote Java Machine Learning information

See Chicopee, MA salary details

$11

$63

$86

How much do remote java machine learning jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for remote java machine learning in Chicopee, MA is $63.16, according to ZipRecruiter salary data. Most workers in this role earn between $55.34 and $70.58 per hour, depending on experience, location, and employer.

How does a Remote Java Machine Learning Engineer typically collaborate with cross-functional teams given the distributed work environment?

As a Remote Java Machine Learning Engineer, you will regularly collaborate with data scientists, software engineers, and product managers through virtual meetings, shared project management tools, and code repositories. Clear communication and proactive documentation are essential to ensure alignment, especially when integrating machine learning models into Java-based applications. You may also participate in code reviews, sprint planning, and brainstorming sessions to refine features and troubleshoot issues. Building strong working relationships remotely often involves actively engaging in team channels and being responsive to feedback.

What are Remote Java Machine Learning jobs?

Remote Java Machine Learning jobs involve developing, deploying, and maintaining machine learning models and applications using the Java programming language, all while working from a remote location. Professionals in these roles typically build algorithms, process data, and integrate machine learning solutions into software systems. They collaborate with other developers and data scientists virtually, leveraging Java libraries such as Weka, Deeplearning4j, or MOA. These jobs are ideal for those who have strong Java skills and a background in machine learning, and who prefer the flexibility of working remotely.

What are the key skills and qualifications needed to thrive as a Remote Java Machine Learning Engineer, and why are they important?

To excel as a Remote Java Machine Learning Engineer, you need strong programming skills in Java, a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or Weka), version control systems like Git, and cloud computing platforms is highly valued. Excellent problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These competencies are vital for building effective ML solutions, working independently, and ensuring seamless integration within distributed teams.
What are popular job titles related to Remote Java Machine Learning jobs in Chicopee, MA? For Remote Java Machine Learning jobs in Chicopee, MA, the most frequently searched job titles are:
Remote Java Machine Learning jobs near you
Principal Software Engineer

Principal Software Engineer

Boston Human Capital Partners, Inc.

Easthampton, MA • Remote

$134K - $180K/yr

Other

Posted 22 days ago

Job description

We are looking for a seasoned Principal Software Engineer for our client to shape the foundational architecture behind our Unified API platform. This role centers on building high-performance distributed systems, powering data-intensive services, and enabling seamless, secure integrations across modern IT and security ecosystems.

This is a fully remote position (U.S. only) and best suited for engineers who excel in fast-moving startup environments where autonomy, rapid iteration, and strong technical judgment are essential.

About the Role

In this role, you will serve as a technical leader responsible for advancing our core backend platform. You'll design and deliver complex systems-from microservices to large-scale data pipelines-and play a pivotal part in scaling our real-time infrastructure. Your work will directly influence how products across industries connect, integrate, and exchange data.

What You'll Do

  • Lead the design and development of distributed microservices and high-throughput backend systems.

  • Drive improvements in system performance, low-latency processing, and large-scale reliability.

  • Architect data storage strategies including data lake and warehouse solutions supporting analytics and ML.

  • Build and optimize real-time streaming pipelines capable of processing massive data volumes.

  • Deploy and operationalize machine learning models within production environments.

  • Collaborate closely with the broader engineering and product teams to deliver platform-wide enhancements.

What We're Looking For

We are in search of an engineer with deep experience building systems from scratch, ideally in early-stage startup settings. Candidates should bring a history of architecting and shipping highly reliable, technically sophisticated products.

Required Qualifications

  • 10+ years of professional experience in software engineering.

  • Bachelor's or Master's in Computer Science or equivalent experience.

  • Demonstrated expertise in architecting and building distributed systems, backend services, and large-scale data infrastructure.

  • Strong capabilities in performance tuning, scalability, and reliability engineering.

  • Hands-on experience designing data lakes and data warehouses for analytics or ML applications.

  • Proven ability to create and maintain real-time data streaming pipelines handling terabyte-scale workloads.

  • Background in integrating machine learning systems into production workflows.

  • Proficiency with backend technologies such as Golang, Git, Kubernetes, and Opentelemetry.

  • Significant experience building APIs and web services.

  • Strong knowledge of data processing, databases, and cloud-native architectures.

  • Deep familiarity with AWS, GCP, or Azure services.

  • Extensive use of Kubernetes, IaC, CI/CD pipelines, and GitOps practices.

  • Exceptional communication skills, including written, verbal, and interpersonal abilities.

  • Prior experience in cybersecurity companies is a major plus.

* Must be authorized to work in the U.S.

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