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Android Ai Ml Engineer Infrastructure Jobs in Springfield, MA

1 point system

AI/ML Engineer

Hartford, CT · Remote

Guide the architecture, infrastructure, tools, and processes for AI/ML products. * Implement ... A Bachelor's Degree in Engineering, Computer Science, or a similar field is required. Experience: A ...

The Hartford

Senior AI Machine Learning Engineer

Hartford, CT · On-site

$123K - $162K/yr

As a Senior AI/ML engineer youwill manage and modernize the existing predictive model portfolio ... Experience with CI/CD, containers, APIs, infrastructure-as-code concepts, observability, and ...

Network Designs Inc.

AI Integrator

Chicopee, MA · On-site

$167K - $196K/yr

Infrastructure & DevOps: Proven experience with Docker, Kubernetes, CI/CD workflows, and automated ... Responsibilities:AI/ML Engineering: Design, train, optimize, and deploy custom AI/ML models ...

Network Designs

AI Integrator #1744026

Chicopee, MA · On-site

Infrastructure & DevOps: Proven experience with Docker, Kubernetes, CI/CD workflows, and automated ... AI/ML Engineering: Design, train, optimize, and deploy custom AI/ML models (including deep learning ...

Network Designs Inc.

AI Integrator #1744026

Chicopee, MA · On-site

$167K - $196K/yr

Infrastructure & DevOps: Proven experience with Docker, Kubernetes, CI/CD workflows, and automated ... AI/ML Engineering: Design, train, optimize, and deploy custom AI/ML models (including deep learning ...

MassMutual

AI Platform Engineer

Springfield, MA

$163K - $215K/yr

The team operates at the intersection of cloud infrastructure, AI/ML systems, and developer experience--delivering foundational capabilities that shape how the entire organization builds and deploys ...

Teradata Corporation (SE)

Senior AI Engineer

Hartford, CT · On-site

$143.50 - $215.20/hr

Apply and experiment with AI/ML technologies, including agentic AI and large language models (LLMs ... Identify and resolve system performance bottlenecks, optimizing code, design, and infrastructure.

Pwc

ERP AI Engineer - Manager

Hartford, CT

$99K - $232K/yr

As a Manager, you will lead teams of data scientists and ML engineers, manage client relationships, and translate complex business challenges into AI-driven strategies and solutions. This role offers ...

MassMutual

AI Engineer

Springfield, MA · Hybrid

$141K - $185K/yr

Design, build, and deliver end-to-end AI/ML solutions for defined business use cases, using LLMs ... based infrastructure. * Python programming, with the ability to write clean, well-tested ...

Deloitte

AI Security Engineer Manager

Hartford, CT · On-site

... ML and Generative AI solutions. You will operate hands-on across high-visibility initiatives ... Technology & Infrastructure * Applications * Relationship Management * Strategy & Communications

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All JobsAndroid Ai Ml Engineer Infrastructure JobsAndroid Ai Ml Engineer Infrastructure Jobs in Springfield, MA

Android Ai Ml Engineer Infrastructure information

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$46.3K

$126.6K

$181.4K

How much do android ai ml engineer infrastructure jobs pay per year?

As of Aug 25, 2026, the average yearly pay for android ai ml engineer infrastructure in Springfield, MA is $126,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $140,500.00 per year, depending on experience, location, and employer.

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Android Ai Ml Engineer Infrastructure jobs near you
Infographic showing various Android Ai Ml Engineer Infrastructure job openings in Springfield, MA as of August 2026, with employment types broken down into 50% Full Time, and 50% Temporary. Highlights an 100% In-person job distribution, with an average salary of $126,622 per year, or $60.9 per hour.

AI/ML Engineer

1 point system

Hartford, CT • Remote

Contractor

Posted 6 days ago

Job description

Role Overview

As an AI Software Engineer, you will be responsible for designing, developing, and deploying Decision Intelligence and AI-enabled products. These solutions impact patient care, team member and patient experience, and clinical operations. You will work on a product team with engineers, data scientists, and product managers, contributing to the full product lifecycle from ideation to iteration.

Key Responsibilities

  • Collaborate with a product team to design, develop, and deploy Decision Intelligence and AI-enabled products.
  • Guide the architecture, infrastructure, tools, and processes for AI/ML products.
  • Implement knowledge graphs, ideally Neo4j, in solutions deployed to production.
  • Implement GraphRag in AI/ML products deployed to production to improve LLM response.
  • Design and implement scalable and efficient ML Ops pipelines for large volumes of data.
  • Standardize, optimize, and scale products in production environments.
  • Develop rapid prototypes to experiment and evaluate feasibility.
  • Stay current with the latest data platform and AI/ML tools, techniques, and industry trends.

Required Qualifications

Education: A Bachelor’s Degree in Engineering, Computer Science, or a similar field is required.

Experience: A minimum of 6 years of experience in software engineering, data engineering, or machine learning engineering is required. This must include 3 years of experience in data science or artificial intelligence.

Technical Skills:

  • Expert-level programming skills in Python/PySpark and Java.
  • Experience building user interfaces with HTML, CSS, and JavaScript frameworks such as React or Angular.
  • Experience with public cloud platforms, ideally Azure.
  • Proficiency with containerization and DevSecOps practices.
  • Experience working with semi-structured file formats and NoSQL databases.
  • Understanding of API design, development, and production deployment at scale.
  • Have knowledge of and have implemented knowledge graph (ideally Neo4j) in solutions deployed to production
  • Implemented GraphRag in AI/ML products that were deployed to production to improve LLM Response

Preferred Qualifications

  • Experience in the healthcare industry.
  • Knowledge of medical terminology and clinical workflows.
  • Contributions to open-source AI/ML projects.
  • A Master's degree.