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Machine Learning Engineer Quantization Jobs in Olivet, MI

Lead Security Architect

Lansing, MI · On-site

$75 - $95/hr

Partner with engineering teams to integrate security throughout the software development lifecycle ... Support enterprise initiatives involving AI, Machine Learning, and cloud-native technologies ...

Manufacturing Engineer

Lansing, MI · On-site

$30 - $59/hr

Experience with mechanical manufacturing processes such as machining, joints, fasteners, and ... The environment offers the opportunity to gain aerospace experience and access to online learning ...

... Machine Learning, and Technical Writing, we consistently exceed expectations in catering to a wide ... Ensures SEM (system engineering methodology) deliverables for the project that are a responsibility ...

Predictive Modeler

Lansing, MI · On-site

$55.50 - $72/hr

Use statistical or machine learning techniques to build models that address business needs and ... Electrical Engineering, etc.) * Outstanding problem solving and critical thinking skills * An ...

Predictive Modeler

Lansing, MI · Hybrid

$55.50 - $72/hr

Use statistical or machine learning techniques to build models that address business needs and ... Electrical Engineering, etc.) * Outstanding problem solving and critical thinking skills * An ...

Kettering Co-op

Lansing, MI

$19.50 - $25.50/hr

Software Developer Co-op: Responsibilities include developing, maintaining, and supporting software ... Using statistical or machine learning techniques to build models that address business needs and ...

Kettering Co-op

Lansing, MI · On-site

$19.50 - $25.50/hr

Software Developer Co-op: Responsibilities include developing, maintaining, and supporting software ... Using statistical or machine learning techniques to build models that address business needs and ...

... the machine is properly working throughout programming scripts and tests. The incumbent is ... learning and development programs and tuition reimbursement • Paid holidays and vacation time ...

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Machine Learning Engineer Quantization information

See Olivet, MI salary details

$28.7K

$117.1K

$176K

How much do machine learning engineer quantization jobs pay per year?

As of Jun 19, 2026, the average yearly pay for machine learning engineer quantization in Olivet, MI is $117,123.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,300.00 and $141,000.00 per year, depending on experience, location, and employer.

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 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 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 cities near Olivet, MI are hiring for Machine Learning Engineer Quantization jobs? Cities near Olivet, MI with the most Machine Learning Engineer Quantization job openings:

Lead Security Architect

Select Minds LLC

Lansing, MI • On-site

$75 - $95/hr

Full-time

Posted 17 days ago


Job description

Benefits:
  • Long Term Opportunity
  • Competitive salary
  • Opportunity for advancement

Job Title: Lead Security Architect | Enterprise, Cloud & Application Security
Location: Phoenix, AZ (Day 1 Onsite)
Duration: Long-Term Contract
Interview : Inperson

We are seeking a highly experienced Lead Security Architect with strong hands-on expertise in designing, implementing, and reviewing enterprise security solutions across cloud, application, SaaS, and network environments.
This is not a Security Auditor or GRC-focused role. The ideal candidate must have recent experience driving security architecture decisions, conducting enterprise security reviews, performing threat assessments, and partnering with engineering teams to implement scalable security controls
The Security Architect will play a critical role in evaluating existing architectures, identifying security risks, defining remediation strategies, and establishing secure design patterns across enterprise platforms.
Required Experience
  • 12+ years of overall IT experience
  • 5+ years of Security Architecture experience
  • Strong hands-on experience designing and implementing enterprise security solutions
  • Experience conducting enterprise security reviews and Tiger Team assessments
  • Proven expertise reviewing and approving application, infrastructure, and cloud architectures
  • Experience creating and maintaining Architecture Decision Records (ADRs)
  • Strong communication and stakeholder management skills

Core Responsibilities
  • Lead enterprise-wide security architecture reviews and assessments
  • Evaluate application, cloud, SaaS, and infrastructure architectures for security risks
  • Conduct threat modeling and security design reviews
  • Define security standards, patterns, and architectural best practices
  • Review and document Architecture Decision Records (ADRs)
  • Partner with engineering teams to integrate security throughout the software development lifecycle
  • Provide guidance on secure cloud adoption, API security, data protection, and cryptographic controls
  • Identify security gaps and develop practical remediation strategies
  • Support enterprise initiatives involving AI, Machine Learning, and cloud-native technologies

Required Technical Skills
Enterprise Security Architecture
Enterprise Security Reviews Security Architecture Assessments * Security Design Reviews
Tiger Team Engagements Risk Analysis Threat Modeling Architecture Governance
Application Security (AppSec)
Secure SDLC OWASP Top 10 Threat Modeling SAST DAST Secure Code Review API Security Application Security Architecture
Cloud Security
AWS Security Architecture Azure Security * Google Cloud Platform (GCP) Security
Cloud Security Assessments Cloud Architecture Reviews * Cloud Governance and Security Controls
Network Security
Network Security Architecture Palo Alto Firewalls Network Segmentation IDS/IPS
Zero Trust Network Access (ZTNA) Secure Network Design
SaaS Security
SaaS Platform Security Reviews Identity & Access Controls * Third-Party Risk Evaluation
  • SaaS Security Architecture

Data & Infrastructure Security
Cryptography Data Protection * Database Security Architecture
PostgreSQL Big Data Security * Secure Data Architecture
AI & Emerging Technologies
AI Security Generative AI Security * Machine Learning Security
Model Risk Management AI Governance and Security Controls
Security Frameworks
Experience with one or more of the following:
NIST Cybersecurity Framework (CSF) NIST 800-53
CIS Controls Zero Trust Architecture
OWASP MITRE ATT&CK
Tools & Technologies
AWS Azure GCP Palo Alto ServiceNow GitHub GitLab Bitbucket SVN PostgreSQL
Preferred Certifications
CISSP CCSP * AWS Certified Security Specialty
TOGAF SABSA * GIAC Security Certifications
What We're Looking For
The ideal candidate is a hands-on Security Architect who has successfully designed and implemented security solutions across enterprise environments. Candidates with primarily auditing, compliance, governance, risk, or GRC backgrounds without architecture and implementation experience will not be a fit for this role.
Compensation: $75.00 - $95.00 per hour
About Us
We work to deliver profitability in your business - with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses.
Work Approach
Our Philosophy
Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.
Work Policy
We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.
The Future
SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.