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Hourly Embedded Machine Learning Jobs in Springfield, MA

CVS Health

AI/LLM Engineer

Hartford, CT · On-site

$101K - $203K/yr

Machine learning concepts (training, evaluation, overfitting, bias) * Practical experience with ... hourly rate or base annual full-time salary for all positions in the job grade within which this ...

Niagara Bottling LLC

PM Mechanic

Bloomfield, CT · On-site

$27.35 - $36.23/hr

PM Mechanic Performs preventative and predictive maintenance on facility machinery. Essential ... Seeks to develop technical knowledge through learning from other experts * Understands ...

Niagara Bottling, LLC

PM Mechanic

Bloomfield, CT · On-site

$27.35 - $36.23/hr

PM Mechanic Performs preventative and predictive maintenance on facility machinery. Essential ... Seeks to develop technical knowledge through learning from other experts * Understands ...

Walmart

Stocking Team Associate

Northampton, MA · On-site

$16 - $29/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

DIH O/N Team Associate

Springfield, MA · On-site

$16 - $29/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Supervisor

Westfield, MA · On-site

$21 - $34/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

DIH O/N Team Associate

Ware, MA · On-site

$16 - $29/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Associate

East Windsor, CT · On-site

$17 - $30/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Associate

Springfield, MA · On-site

$16 - $29/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Associate

Chicopee, MA · On-site

$16 - $29/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Associate

Westfield, MA · On-site

$16 - $29/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Associate

Sturbridge, MA · On-site

$16 - $29/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Supervisor

Ware, MA · On-site

$21 - $34/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Associate

Manchester, CT · On-site

$17 - $30/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Associate

Ware, MA · On-site

$16 - $29/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Associate

Hadley, MA · On-site

$16 - $29/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

Walmart

Stocking Team Associate

Hartford, CT · On-site

$17 - $30/hr

The actual hourly rate will equal or exceed the required minimum wage applicable to the job ... Ability to operate heavy machinery such as forklifts may also be necessary. Benefits & perks At ...

LiquidPiston, Inc.

Engine Build Technician

Suffield, CT · On-site

$18.25 - $24.75/hr

Hourly About LiquidPiston: LiquidPiston, Inc. is an innovative engineering company revolutionizing ... Proven mechanical aptitude from automotive, aerospace, machining, or similar hands-on technical ...

LiquidPiston

Engine Build Technician

Suffield, CT · On-site

$18.25 - $24.75/hr

Hourly About LiquidPiston: LiquidPiston, Inc. is an innovative engineering company revolutionizing ... Proven mechanical aptitude from automotive, aerospace, machining, or similar hands-on technical ...

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Showing results 21-40

All JobsHourly Embedded Machine Learning JobsHourly Embedded Machine Learning Jobs in Springfield, MA

Hourly Embedded Machine Learning information

See Springfield, MA salary details

$69.8K

$152.8K

$173.4K

How much do hourly embedded machine learning jobs pay per year?

As of Aug 16, 2026, the average yearly pay for hourly embedded machine learning in Springfield, MA is $152,847.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,000.00 and $172,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an hourly embedded machine learning engineer, and why are they important?

To thrive as an Hourly Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

How does an hourly embedded machine learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What is an hourly embedded machine learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

What is the difference between Hourly Embedded Machine Learning vs Hourly Data Scientist?

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

What job categories do people searching Hourly Embedded Machine Learning jobs in Springfield, MA look for?

The top searched job categories for Hourly Embedded Machine Learning jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Hourly Embedded Machine Learning jobs?

Cities near Springfield, MA with the most Hourly Embedded Machine Learning job openings:

Hourly Embedded Machine Learning jobs near you
Infographic showing various Hourly Embedded Machine Learning job openings in Springfield, MA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $152,847 per year, or $73.5 per hour.

AI/LLM Engineer

CVS Health

Hartford, CT • On-site

$101K - $203K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,338 frontline employees who took The Breakroom Quiz

89th of 112 rated pharmacies

Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health , you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.
We are seeking an experienced AI / LLM Engineer to design, develop, and operationalize advanced language model-powered applications for enterprise use cases. This role will focus on building text-based reasoning systems, Retrieval-Augmented Generation (RAG) pipelines, and scalable prompt engineering frameworks that enhance decision-making, automation, and knowledge discovery across the organization.
As a key member of a cross-functional team, you will collaborate with business stakeholders to translate business requirements into reliable, explainable, and production-ready AI solutions. You will play a critical role in shaping enterprise AI capabilities by ensuring solutions are secure, responsible, and optimized for real-world performance.
  • Design and implement LLM-powered applications that support complex, text-based reasoning and decision workflows.
  • Develop and refine chain-of-thought-style reasoning approaches and structured prompt patterns to improve model accuracy and interpretability.
  • Architect and build Retrieval-Augmented Generation (RAG) systems leveraging embeddings, vector search, and hybrid retrieval strategies.
  • Create, evaluate, and optimize prompt engineering frameworks, including reusable templates, prompt libraries, and testing methodologies.
  • Implement monitoring, logging, and feedback loops for continuous improvement of AI systems.
  • Ensure compliance with security, governance, and Responsible AI principles.
  • Partner with product and analytics teams to rapidly prototype and iterate AI-driven features.

Tools & Technologies
  • Programming: Python (primary), SQL
  • LLM Platforms: OpenAI, Anthropic, Google Vertex AI
  • Frameworks: LangChain, LlamaIndex, Semantic Kernel
  • Vector Databases: Pinecone, Weaviate, FAISS, MongoDB Atlas Vector Search
  • Data Processing: Spark, Pandas
  • APIs & Services: FastAPI, Flask, REST/gRPC
  • Cloud Platforms: AWS, Azure, Google Cloud Platform (Google Cloud Platform)
  • DevOps & MLOps: Docker, Kubernetes, CI/CD tools
  • Monitoring & Evaluation: Prompt evaluation tools, logging frameworks, observability platforms

Essential Qualifications and Functions:
  • 5+ years expereince
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
  • Strong programming experience in Python and familiarity with software engineering best practices.
  • Hands-on experience building production-grade AI/ML systems, not just prototypes.
  • Experience working with Large Language Models (LLMs) and APIs.
  • Solid understanding of:
    • Natural Language Processing (NLP) fundamentals
    • Machine learning concepts (training, evaluation, overfitting, bias)
  • Practical experience with:
    • Retrieval-Augmented Generation (RAG) systems
    • Prompt engineering and prompt optimization
    • Embeddings and vector search
  • Experience designing and implementing APIs, microservices, or distributed systems.
  • Familiarity with model evaluation techniques and performance metrics.
  • Strong debugging and problem-solving skills in complex systems.

Preferred Qualifications:
  • Experience with LLM platforms such as OpenAI, Anthropic, Google Vertex AI, or similar.
  • Familiarity with orchestration frameworks like LangChain, LlamaIndex, Semantic Kernel, or equivalent.
  • Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, MongoDB Atlas Vector Search).
  • Knowledge of MLOps practices, including CI/CD pipelines for AI systems.
  • Experience deploying solutions in cloud environments (e.g., AWS, Azure, Google Cloud Platform).
  • Exposure to agent-based architectures or multi-step AI workflows.
  • Experience in financial services enterprise environments (or similar data-intensive industries).
  • Experience with evaluation frameworks and benchmarking for LLMs.

This role does not support sponsorship at this time
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$101,970.00 - $203,940.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 08/14/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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