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Ai Reliability Engineer Jobs in Rhode Island (NOW HIRING)

Work with manufacturing on initial build and ensure goals for reliability and compliance are ... Demonstrated ability and willingness to use AI tools to improve productivity, decision-making, work ...

Software Engineer

Carolina, RI · On-site

$80K - $90K/yr

... and reliability of the software. - Collaborate with other team members, including software ... GitHub Copilot, Claude, Cursor or ChatGPT) - Familiarity with AI directed prompt engineering for ...

Senior Data Engineer

Carolina, RI · Remote

$106K - $144K/yr

As part of our growing Cloud Data & AI Platform organization, you will collaborate with a talented ... Develop monitoring dashboards and operational metrics to improve platform visibility, reliability ...

Senior Software Engineer

Providence, RI · On-site +1

$123K - $162K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... AI-assisted user experiences. * Ensure application reliability, security, accessibility, and ...

Senior Software Engineer

Providence, RI · On-site +1

$123K - $162K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... AI-assisted user experiences. * Ensure application reliability, security, accessibility, and ...

Senior Data Engineer

Carolina, RI · Remote

$106K - $144K/yr

As part of our growing Cloud Data & AI Platform organization, you will collaborate with a talented ... Develop monitoring dashboards and operational metrics to improve platform visibility, reliability ...

Work with manufacturing on initial build and ensure goals for reliability and compliance are ... Demonstrated ability and willingness to use AI tools to improve productivity, decision-making, work ...

Data Engineer II

Carolina, RI · On-site +1

$115K - $138K/yr

As part of our growing Cloud Data & AI Platform organization, you will collaborate with a talented ... Develop and maintain data tests, including dbt tests, to support data quality and reliability ...

Data Engineer II

Carolina, RI · On-site +1

$115K - $138K/yr

As part of our growing Cloud Data & AI Platform organization, you will collaborate with a talented ... Develop and maintain data tests, including dbt tests, to support data quality and reliability ...

Data Engineer II

Providence, RI · On-site

$115K - $138K/yr

... AI initiatives. You will work with modern data technologies including Databricks, Apache Spark ... Monitor, troubleshoot, and optimize production data pipelines for reliability, scalability, and ...

Data Engineer II

Providence, RI · On-site

$115K - $138K/yr

... AI initiatives. You will work with modern data technologies including Databricks, Apache Spark ... Monitor, troubleshoot, and optimize production data pipelines for reliability, scalability, and ...

Quality Engineer (Assurance)

Westerly, RI · On-site

$72K - $93K/yr

Demonstrated ability and willingness to use AI tools to improve productivity, decision-making, work ... Experience in high-reliability, regulated, or defense-related environments preferred. * Working ...

Quality Engineer (Assurance)

Westerly, RI · On-site

$72K - $93K/yr

Demonstrated ability and willingness to use AI tools to improve productivity, decision-making, work ... Experience in high-reliability, regulated, or defense-related environments preferred. * Working ...

Lead Data Engineer

Carolina, RI · Remote

$115K - $138K/yr

As part of our growing Cloud Data and AI Platform organization, you will lead and collaborate with ... Define monitoring, observability, and operational reliability standards, including dashboards ...

Showing results 41-60

Ai Reliability Engineer information

What are the key skills and qualifications needed to thrive as an AI reliability engineer, and why are they important?

To thrive as an AI Reliability Engineer, you need a solid background in computer science or engineering, expertise in AI/ML concepts, and experience with software testing and reliability methodologies. Familiarity with tools like TensorFlow, PyTorch, CI/CD pipelines, and reliability testing frameworks, along with certifications in cloud platforms (e.g., AWS Certified Machine Learning), is highly valuable. Analytical thinking, problem-solving abilities, and strong collaboration skills set top performers apart in this role. These skills ensure robust, dependable AI systems that meet performance standards and maintain trust in critical applications.

What is the difference between Ai Reliability Engineer vs Data Scientist?

AspectAi Reliability EngineerData Scientist
Required CredentialsBachelor's or master's in CS, engineering, or related; certifications in AI/MLBachelor's or master's in CS, statistics, or related; certifications in data analysis or ML
Work EnvironmentTech companies, AI-focused teams, engineering departmentsResearch labs, tech firms, analytics teams
Employer & Industry UsageAI product development, machine learning systems, reliability testingData analysis, predictive modeling, business insights

While both roles involve AI and ML, Ai Reliability Engineers focus on ensuring AI system robustness and uptime, whereas Data Scientists analyze data to generate insights and models. The roles often collaborate but serve different primary functions within AI projects.

What is an AI reliability engineer?

AI Reliability Engineers are professionals responsible for ensuring that artificial intelligence systems function reliably, safely, and effectively over time. They work on monitoring AI models in production, identifying and mitigating potential failures, and improving the robustness of AI systems. Their tasks often include testing, validation, performance monitoring, and implementing best practices for maintaining AI infrastructure. By focusing on reliability, they help organizations deploy AI solutions that are dependable and trustworthy in real-world environments.

What are some common challenges AI reliability engineers face when ensuring model robustness in production environments?

Ai Reliability Engineers often encounter challenges such as monitoring AI model performance for drift or unexpected behavior, managing data quality issues, and implementing automated alerting systems for anomalies. In production, it's crucial to ensure that AI models operate consistently and remain reliable under varying conditions and data inputs. Collaborating closely with data scientists, software engineers, and DevOps teams is essential to address these challenges and to continuously improve model reliability and uptime.
What are popular job titles related to Ai Reliability Engineer jobs in Rhode Island? For Ai Reliability Engineer jobs in Rhode Island, the most frequently searched job titles are:
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Design Engineer

Ametek

Westerly, RI • On-site

Full-time

Re-posted 10 days ago


AMETEK rating

7.5

Company rating: 7.5 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

89th of 156 rated electronics manufacturers


Job description

The Design Engineer is a highly skilled and motivated engineer that can design harsh environment connectors, cable assemblies and hull penetrators for subsea applications. The design engineer will take the design from concept modeling to production ready prints and support the manufacturing of the product.

Key Responsibilities:

  • Work with customers (internal and external) to develop and document complex products for harsh subsea environment applications that meet performance requirements at the expected product cost, project budget and timeline. 
  • Construct prototypes and confirm designs with the quality department and purchasing team. Work with Engineering colleagues on tooling and manufacturing equipment and processes.  Work with manufacturing on initial build and ensure goals for reliability and compliance are achieved.
  • Develop and maintain product details, drawings, and assembly instructions utilizing engineering and MRP software tools. 
  • Demonstrated ability and willingness to use AI tools to improve productivity, decision-making, work quality, and to reduce costs. The successful candidate must be able to identify appropriate AI use cases and critically evaluate AI-generated outputs.

Qualifications:

  • Bachelor's degree in electrical, mechanical engineering or related technical field.
  • 3+ years of design engineering work experience of technical products preferred.
  • Proficient with SOLIDWORKS 3D CAD software and 2D drafting and mechanical design and  MS Office.
  • Accurate and strong attention to detail.
  • Excellent verbal and written communication skills.
  • Ability to demonstrate strong customer collaboration and relationship growth.
  • Ability to work across various departments to support collaborative business outcomes.
  • Must have demonstrated a strong work ethic and sense of urgency for completing assigned work with a history of meeting commitments.
  • Ability to adjust priorities to multiple demands and to work both independently and as part of team.
  • Able to travel on occasion to domestic and global customer locations. 

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