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Embedded Machine Learning Jobs in Connecticut (NOW HIRING)

... embedded into systems and workflows, preventing bad data at the source rather than correcting it ... Generative AI, machine learning, and advanced analytics * Enterprise data and analytics platforms

... embedded into systems and workflows, preventing bad data at the source rather than correcting it ... Generative AI, machine learning, and advanced analytics * Enterprise data and analytics platforms

Director, Data Science

Stamford, CT · On-site

  • Medical

  • Retirement

  • PTO

Our clients are IT and business leaders worldwide, relying on the platform embedded in their ... What You Will Need * 8-12 years of experience in data science, machine learning, or AI, with at ...

Director, Data Science

Stamford, CT · Remote

  • Medical

  • Retirement

  • PTO

Our clients are IT and business leaders worldwide, relying on the platform embedded in their ... What You Will Need * 8-12 years of experience in data science, machine learning, or AI, with at ...

Power Electronics Engineer

Groton, CT · On-site

$110 - $160/hr

... embedded processors is required. Previous experience laying out boards and/or managing layout ... Prior experience designing electric machines and/or drives * Experience working with acoustic ...

Showing results 21-31

Embedded Machine Learning information

What is an embedded machine learning?

An Embedded Machine Learning job involves developing and optimizing machine learning models to run efficiently on resource-constrained devices like microcontrollers, edge devices, and IoT hardware. Professionals in this role work on model compression, low-power inference, and real-time processing, ensuring AI capabilities can function without relying on cloud computing. Responsibilities often include data preprocessing, feature extraction, model training, and deployment on embedded systems using frameworks like TensorFlow Lite or Edge Impulse.

What are the key skills and qualifications needed to thrive in embedded machine learning?

To thrive in Embedded Machine Learning, you should have expertise in machine learning algorithms, embedded systems programming (e.g., C/C++, Python), and a solid understanding of hardware-software integration, typically backed by a degree in computer engineering, electrical engineering, or a related field. Familiarity with edge AI tools (such as TensorFlow Lite, ONNX, or Edge Impulse), microcontrollers, and real-time operating systems is highly valued, alongside relevant certifications such as Embedded Systems or AI certificates. Strong problem-solving skills, effective communication, and the ability to work cross-functionally are crucial soft skills in this field. These qualifications and qualities are vital for creating efficient, reliable AI solutions that operate seamlessly within resource-constrained environments and interdisciplinary project teams.

What are some common challenges faced by professionals working in embedded machine learning roles?

Professionals in embedded machine learning roles often face the challenge of optimizing machine learning models to run efficiently on resource-constrained hardware, such as microcontrollers or edge devices with limited memory and processing power. Balancing model accuracy, inference speed, and energy consumption can require creative problem-solving and deep knowledge of both hardware and software. Additionally, collaboration with hardware engineers, data scientists, and software developers is key, as projects typically require cross-functional teamwork to meet performance and deployment goals. Staying current with rapidly evolving tools and best practices is also important in this dynamic field.

What are the most commonly searched types of Embedded Machine Learning jobs in Connecticut?

The most popular types of Embedded Machine Learning jobs in Connecticut are:

What are popular job titles related to Embedded Machine Learning jobs in Connecticut?

For Embedded Machine Learning jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Embedded Machine Learning jobs in Connecticut look for?

The top searched job categories for Embedded Machine Learning jobs in Connecticut are:

Infographic showing various Embedded Machine Learning job openings in Connecticut as of August 2026, with employment types broken down into 22% Internship, and 78% Full Time. Highlights an 100% In-person job distribution.

Cyber Senior Consultant - AI SOC

Deloitte

Stamford, CT

Full-time

Re-posted 25 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services


Job description


As a Senior Consultant - Cyber Defense and Resilience, you will help deliver security engineering solutions that modernize client security operations across monitoring, detection, response, and automation. In this client-facing role, you will work directly with client stakeholders to design and implement solutions across security information and event management, security orchestration automation and response, telemetry, and artificial intelligence-enabled workflows. You will translate operational requirements into deployable capabilities that improve analyst efficiency, alert quality, and response speed.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As a Senior Consultant - Cyber Defense and Resilience on the Cyber Defense & Resilience team, you will be responsible for:

  • Designing and implementing security operations solutions across security information and event management, security orchestration automation and response, telemetry, detection, and response platforms
  • Developing integrations, automation playbooks, and data pipelines that support ingestion, enrichment, triage, investigation, and response workflows
  • Collaborating with security operations center analysts, threat hunters, and client stakeholders to prioritize, test, and tune detection content and operational processes
  • Translating security operations requirements into technical designs, deployment plans, and production-ready engineering solutions
  • Supporting embedded client delivery by leading day-to-day workstream execution, documenting outcomes, and contributing reusable assets and implementation patterns

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Cyber Defense & Resilience team helps clients transform security operations through improved monitoring, detection engineering, automation, analytics, and threat-informed response. The team works with organizations to build scalable operational capabilities across enterprise and cloud environments while improving resilience across the cyber lifecycle.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Cybersecurity, Information Systems, Engineering, or a related field, or equivalent work experience
  • 6+ years of experience in security operations, detection engineering, security engineering, or enterprise cyber defense
  • Experience designing, implementing, or optimizing security information and event management, security orchestration automation and response, detection, telemetry, or response workflows across enterprise security platforms
  • Experience building and maintaining integrations, automations, or engineering workflows using Python or a similar scripting language
  • Experience working directly with clients or internal stakeholders to translate operational requirements into technical solutions
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience across multiple security platforms such as security information and event management, security orchestration automation and response, extended detection and response, endpoint detection and response, threat intelligence, or case management tools
  • Experience with Amazon Web Services, Microsoft Azure, or Google Cloud, including security telemetry and cloud-native security services
  • Experience with threat hunting, cyber threat intelligence, or purple team collaboration
  • Experience with data pipeline, observability, event-driven, or workflow orchestration technologies
  • Experience applying artificial intelligence, machine learning, or large language model workflows to security operations
  • Relevant industry certifications such as Security+, Global Information Assurance Certification Security Essentials, Global Information Assurance Certification Certified Intrusion Analyst, Global Information Assurance Certification Certified Incident Handler, Certified Information Systems Security Professional, Certified Cloud Security Professional, Splunk, or cloud security certifications

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400 to $207,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberCDR27

Qualifications:

As a Senior Consultant - Cyber Defense and Resilience, you will help deliver security engineering solutions that modernize client security operations across monitoring, detection, response, and automation. In this client-facing role, you will work directly with client stakeholders to design and implement solutions across security information and event management, security orchestration automation and response, telemetry, and artificial intelligence-enabled workflows. You will translate operational requirements into deployable capabilities that improve analyst efficiency, alert quality, and response speed.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As a Senior Consultant - Cyber Defense and Resilience on the Cyber Defense & Resilience team, you will be responsible for:

  • Designing and implementing security operations solutions across security information and event management, security orchestration automation and response, telemetry, detection, and response platforms
  • Developing integrations, automation playbooks, and data pipelines that support ingestion, enrichment, triage, investigation, and response workflows
  • Collaborating with security operations center analysts, threat hunters, and client stakeholders to prioritize, test, and tune detection content and operational processes
  • Translating security operations requirements into technical designs, deployment plans, and production-ready engineering solutions
  • Supporting embedded client delivery by leading day-to-day workstream execution, documenting outcomes, and contributing reusable assets and implementation patterns

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Cyber Defense & Resilience team helps clients transform security operations through improved monitoring, detection engineering, automation, analytics, and threat-informed response. The team works with organizations to build scalable operational capabilities across enterprise and cloud environments while improving resilience across the cyber lifecycle.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Cybersecurity, Information Systems, Engineering, or a related field, or equivalent work experience
  • 6+ years of experience in security operations, detection engineering, security engineering, or enterprise cyber defense
  • Experience designing, implementing, or optimizing security information and event management, security orchestration automation and response, detection, telemetry, or response workflows across enterprise security platforms
  • Experience building and maintaining integrations, automations, or engineering workflows using Python or a similar scripting language
  • Experience working directly with clients or internal stakeholders to translate operational requirements into technical solutions
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience across multiple security platforms such as security information and event management, security orchestration automation and response, extended detection and response, endpoint detection and response, threat intelligence, or case management tools
  • Experience with Amazon Web Services, Microsoft Azure, or Google Cloud, including security telemetry and cloud-native security services
  • Experience with threat hunting, cyber threat intelligence, or purple team collaboration
  • Experience with data pipeline, observability, event-driven, or workflow orchestration technologies
  • Experience applying artificial intelligence, machine learning, or large language model workflows to security operations
  • Relevant industry certifications such as Security+, Global Information Assurance Certification Security Essentials, Global Information Assurance Certification Certified Intrusion Analyst, Global Information Assurance Certification Certified Incident Handler, Certified Information Systems Security Professional, Certified Cloud Security Professional, Splunk, or cloud security certifications

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400 to $207,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberCDR27

Education:Bachelor's DegreeEmployment Type:

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