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Machine Learning Engineer Quantization Jobs in New Hampshire

DEKA

Machine Learning Engineer

Manchester, NH · On-site

We're looking for a Machine Learning Engineer who can operate at the intersection of backend engineering and applied machine learning. If you want to design distributed systems, deploy production ML ...

Bespoke Labs

Machine Learning Engineer

Manchester, NH · On-site

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 ...

Bespoke Labs

Machine Learning Engineer

Concord, NH · On-site

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 ...

Bespoke Labs

Machine Learning Engineer

Nashua, NH · On-site

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 ...

Bespoke Labs

Machine Learning Engineer

Rochester, NH · On-site

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 ...

Bespoke Labs

Machine Learning Engineer

Derry, NH · On-site

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 ...

GBG

Senior Machine Learning Engineer (3968)

Manchester, NH · On-site

$104K - $142K/yr

Senior Machine Learning Engineer The Senior Machine Learning Engineer is a senior individual contributor responsible for designing, developing, deploying, and continuously improving machine learning ...

GBG

Senior Machine Learning Engineer (3968)

Manchester, NH

$104K - $142K/yr

Senior Machine Learning Engineer The Senior Machine Learning Engineer is a senior individual contributor responsible for designing, developing, deploying, and continuously improving machine learning ...

GBG

Senior Machine Learning Engineer (3968)

Manchester, NH · On-site

$104K - $142K/yr

Senior Machine Learning Engineer The Senior Machine Learning Engineer is a senior individual contributor responsible for designing, developing, deploying, and continuously improving machine learning ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

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Machine Learning Engineer Quantization information

What does a machine learning engineer quantization do?

A Machine Learning Engineer specializing in quantization focuses on optimizing machine learning models by reducing their size and computational requirements without significantly sacrificing accuracy. This involves converting model parameters and computations from high-precision formats (like 32-bit floating point) to lower-precision formats (such as 8-bit integers). Quantization enables faster inference, lower memory usage, and allows models to run efficiently on edge devices and mobile platforms. These engineers work closely with data scientists and hardware teams to implement, test, and validate quantized models in production environments.

What are some common challenges machine learning engineers face when implementing quantization techniques in production models?

Machine Learning Engineers working on quantization often encounter challenges such as balancing reduced model size and computational efficiency with maintaining acceptable accuracy levels. Adapting quantization methods to different hardware platforms can also require significant testing and optimization. Additionally, engineers must frequently address compatibility issues with existing deployment pipelines and ensure that quantization-aware training is properly integrated to minimize performance degradation. Collaboration with hardware and software teams is essential to streamline deployment and achieve optimal results.

What are the key skills and qualifications needed to thrive as a machine learning engineer quantization, and why are they important?

To thrive as a Machine Learning Engineer Quantization, you need a solid background in machine learning, deep learning, and computer science, typically supported by a degree in a related field. Familiarity with quantization techniques, frameworks such as TensorFlow Lite or PyTorch, and experience with hardware accelerators are crucial. Strong problem-solving skills, attention to detail, and effective collaboration set top performers apart. These capabilities are vital for efficiently deploying high-performing models on resource-constrained devices and ensuring scalable, real-world AI solutions.

What is the difference between Machine Learning Engineer Quantization vs Data Scientist?

AspectMachine Learning Engineer QuantizationData Scientist
Required CredentialsBachelor's or master's in CS, ML, or related; certifications in ML or AIBachelor's or master's in statistics, CS, or related; certifications in data analysis or statistics
Work EnvironmentDeveloping optimized ML models, deploying quantized models for efficiencyAnalyzing data, building predictive models, interpreting results
Industry UsageTech companies, AI hardware firms, embedded systemsFinance, healthcare, marketing, research institutions

Machine Learning Engineer Quantization focuses on optimizing ML models for deployment efficiency, often working closely with hardware and software teams. Data Scientists analyze data and build models for insights. While both roles require ML knowledge, quantization engineers specialize in model compression techniques, whereas data scientists focus on data analysis and interpretation.

What are popular job titles related to Machine Learning Engineer Quantization jobs in New Hampshire?

For Machine Learning Engineer Quantization jobs in New Hampshire, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer Quantization jobs in New Hampshire look for?

The top searched job categories for Machine Learning Engineer Quantization jobs in New Hampshire are:

What cities in New Hampshire are hiring for Machine Learning Engineer Quantization jobs?

Cities in New Hampshire with the most Machine Learning Engineer Quantization job openings:

Machine Learning Engineer Quantization jobs near you
Infographic showing various Machine Learning Engineer Quantization job openings in New Hampshire as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Machine Learning Engineer

HCL Global Systems Inc

Merrimack, NH • On-site

Full-time

Re-posted 17 days ago

Job description

Job Summary:
HCL Global Systems Inc is seeking a Machine Learning Engineer with hands-on experience in software development and cloud technologies. The role involves architecting large scale systems and applying research in machine learning models, particularly in natural language processing and MLOps.
Responsibilities:
• Demonstrated Hands On Experience with the following is required, as well as leading teams implementing:
• Software development and delivery cycle
• Architecting large scale systems
• Experience in Cloud technologies including Docker, Kubernetes, AWS, Azure, GCP
• NodeJS or Python
• REST APIs
• An established track record performing applied research in one or more of the following areas:
• Building and evaluating Natural Language Processing related Machine Learning Models
• MLOps in automating Machine Learning Model services refreshing cycle
• Integrating Machine Learning Model services with existing runtime conversation handling system
Qualifications:
Required:
• Demonstrated Hands On Experience with the following is required, as well as leading teams implementing: Software development and delivery cycle
• Architecting large scale systems
• Experience in Cloud technologies including Docker, Kubernetes, AWS, Azure, GCP
• NodeJS or Python
• REST APIs
• An established track record performing applied research in one or more of the following areas: Building and evaluating Natural Language Processing related Machine Learning Models
• MLOps in automating Machine Learning Model services refreshing cycle
• Integrating Machine Learning Model services with existing runtime conversation handling system
Company:
HCL Global Systems is a staffing and recruiting company providing consulting and business solutions. Founded in 2005, the company is headquartered in Farmington Hills, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
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About HCL Global Systems

Sourced by ZipRecruiter

HCL Global Systems is One of the Best IT Consulting Firm specialized in Application Development, Quality Testing, IT Courses Training, Staffing and Recruitment services. With wide range of experience, We are confident in our ability to help our Customers grow and improve their businesses. More than likely, regardless of the nature and scope of the problem, Our dedicated Team of Professionals can help you to achieve a cost effective business solution.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Farmington Hills, MI, US

Year founded

2005

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