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Computer Vision Engineer Jobs in Connecticut (NOW HIRING)

... computer vision) and implement scalable AI solutions. • Collaborate with Enterprise, Application, Data & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to ...

... computer vision) and implement scalable AI solutions. • Collaborate with Enterprise, Application, Data & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to ...

Lead Data Engineer - Generative AI

Hartford, CT · Hybrid

$115.50K - $138.70K/yr

Sr Staff Data Engineer - GE07DE We're determined to make a difference and are proud to be an ... and computer vision technologies. * Contributions to open-source AI projects or research ...

Process CAD Library Requests for new components and analyze/modify existing library parts for ... Benefits: * Comprehensive medical, dental and vision coverage with plan options that provide ...

Howden a Chart Industries Co. is a global engineering business with a focus on providing clients ... Medical, dental and vision insurance * Employer contributions to an HSA account * Health Care and ...

Howden a Chart Industries Co. is a global engineering business with a focus on providing clients ... Medical, dental and vision insurance * Employer contributions to an HSA account * Health Care and ...

CAD Designer

Windsor, CT · On-site

$85K - $95K/yr

Howden a Chart Industries Co. is a global engineering business with a focus on providing clients ... Medical, dental and vision insurance * Employer contributions to an HSA account * Health Care and ...

Physical AI Senior Manager

Stamford, CT

$134.90K - $178.10K/yr

Can translate between controls engineers, data scientists, and frontline operations * Carry a ... Computer vision for industrial environments (e.g., inspection, defect detection, safety, tracking ...

CAD Specialist

Watertown, CT · Hybrid

$30 - $40/hr

Associate's degree in Engineering Design or Drafting, Technical/Vocational certification, or ... Generous, company-subsidized benefits package, including medical, dental, vision, tuition ...

CAD Specialist

Watertown, CT · On-site

$30 - $40/hr

Associate's degree in Engineering Design or Drafting, Technical/Vocational certification, or ... Generous, company-subsidized benefits package, including medical, dental, vision, tuition ...

Facilitate data-rich experimentation through enhanced analytics, computer vision and other emerging ... Partner with process chemists and engineers on suitable experimentation to deliver CRD workflows ...

Senior Scientist, Automation

Groton, CT · On-site

$93.60K - $156K/yr

Facilitate data-rich experimentation through enhanced analytics, computer vision and other emerging ... Partner with process chemists and engineers on suitable experimentation to deliver CRD workflows ...

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Computer Vision Engineer information

See Connecticut salary details

$46.1K

$115.6K

$130.8K

How much do computer vision engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for computer vision engineer in Connecticut is $115,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $125,100.00 per year, depending on experience, location, and employer.

What Does a Computer Vision Engineer Do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are the key skills and qualifications needed to thrive as a Computer Vision Engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What are some common challenges faced by Computer Vision Engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.

What are Computer Vision Engineers?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

What is the difference between Computer Vision Engineer vs Machine Learning Engineer?

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the most commonly searched types of Computer Vision Engineer jobs in Connecticut? The most popular types of Computer Vision Engineer jobs in Connecticut are:
What are popular job titles related to Computer Vision Engineer jobs in Connecticut? For Computer Vision Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Computer Vision Engineer jobs in Connecticut look for? The top searched job categories for Computer Vision Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Computer Vision Engineer jobs? Cities in Connecticut with the most Computer Vision Engineer job openings:
Infographic showing various Computer Vision Engineer job openings in Connecticut as of May 2026, with employment types broken down into 2% Internship, 96% Full Time, and 2% Contract. Highlights an 88% In-person, 3% Hybrid, and 9% Remote job distribution, with an average salary of $115,596 per year, or $55.6 per hour.
AI Data Engineer Manager

AI Data Engineer Manager

Deloitte

Hartford, CT • On-site

Full-time

Posted 11 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Job Summary:
Deloitte is a leader in transforming the nature of work through its Human Capital practice. They are seeking an AI Data Engineer Manager to lead data architecture and engineering delivery for AI/ML/GenAI solutions, ensuring trusted and scalable data management while collaborating with various teams to translate business needs into technical implementations.
Responsibilities:
• Lead the data architecture and engineering delivery that enables AI/ML/GenAI solutions, ensuring data is trusted, secure, observable, and scalable from ingestion through consumption.
• Design and operationalize modern data and retrieval foundations to support LLM-powered applications (e.g., Claude, GPT/Codex, Gemini) including patterns such as RAG, embeddings, vector search, and governed access to structured and unstructured data.
• Manage day-to-day delivery with an onshore/offshore team, partnering with data science, ML engineering, and product stakeholders to translate use cases into production-ready pipelines and platforms with strong data governance, lineage, quality controls, and monitoring.
• Help define the AI/ML/GenAI technical direction and vision, ensuring alignment with strategic goals and digital transformation efforts.
• Translate the vision of business leaders into realistic technical implementations, while identifying misaligned initiatives and impractical use cases.
• Design end-to-end AI architectures, from data ingestion to model deployment, integrating with cloud and on-premises systems.
• Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models and integration with existing tools.
• Understand and contribute to MLOps and LLMOps, focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models.
• Conduct research to provide technical solutions to scale AI/ML powered features for real-world challenges, making trade-offs based on quality, scalability, performance, and cost.
• Lead the development of AI models (e.g., machine learning, natural language processing, computer vision) and implement scalable AI solutions.
• Collaborate with Enterprise, Application, Data & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot use cases and discuss best design.
• Gather inputs from multiple stakeholders to align technical implementation with existing and future requirements.
• Serve as a technical advisor to leadership, providing insights on AI trends, potential business impacts, and implementation best practices.
• Be responsible for the successful execution of AI-powered applications using agile methodology.
• Audit AI tools and practices across data, models and software engineering, focusing on continuous improvement and feedback mechanisms.
• Contribute to standardizing CI/CD pipelines, user and service roles, and container creation, model consumption, testing, and deployment methodology based on business and security requirements.
• Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI implementation and compliance with upcoming regulations.
• Address potential issues such as training data poisoning, AI model theft, and adversarial samples.
• Help AI product managers and business stakeholders understand the potential and limitations of AI when planning new products.
• Break down client problems and bring an understanding of leading technology, analytics methods, tools, and operating model approaches.
• Build tools and capabilities that assist with data ingestion, feature engineering, data management, and organization.
• Design, implement, and maintain distributed computing solutions for data processing and model training, ensuring the security, scalability, and reliability of machine learning infrastructure.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Statistics, Data Science, Information Systems or related field.
• 6+ years of consulting experience leading delivery teams, including onshore and offshore team members
• 6+ years of experience gathering non-functional requirements and defining application architecture frameworks, including validation and testing deliverables
• 5+ years of experience working in an AI environment
• 5+ years of experience translating requirements into client ready design documents
• 5+ years of experience in software application architecture analysis, design, and delivery
• 5+ years of experience executing full system development life cycle implementations
• Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• Advanced degrees such as Masters or PhD are preferred
• Certifications in AI/ML technologies and Cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect
• 5 + years of experience in Data Science, Statistics, and Machine Learning
• 5+ years of experience in Generative AI/LLMs, preferably experienced in delivering and productionizing
• 5+ years of experience in machine learning model development, natural language processing, and data analysis; Experienced in Supervised and Unsupervised learning, feature engineering, model training, and deployment
• 5+ year of experience in implementing cloud-based AI/ML workloads on any of AWS, Microsoft and Azure.
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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