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Evening Edge Ai Machine Learning Jobs in Hawaii (NOW HIRING)

Machine Learning Engineer

Honolulu, HI ยท On-site

$150 - $200/hr

In this role, you will work with cutting-edge technologies to design, develop, and deploy machine ... SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence ...

In this role, you will work with cutting-edge technologies to design, develop, and deploy machine ... SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence ...

$40/hr

... edge to the world's most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act ...

$40/hr

... edge to the world's most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act ...

$40/hr

... edge to the world's most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act ...

$40/hr

... edge to the world's most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act ...

... edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage ...

... edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage ...

... edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage ...

... edge AI models that power real-time recommendations, feed ranking, and automated content generation, ensuring high-quality and engaging customer experiences. Beyond recommendations, we leverage ...

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Showing results 1-20

Evening Edge Ai Machine Learning information

What is an Evening Edge AI Machine Learning job?

Evening Edge AI Machine Learning jobs typically refer to positions focused on developing, maintaining, or deploying machine learning solutions, with work hours in the evening or during non-traditional schedules. These roles may involve tasks such as data analysis, model training, algorithm development, and performance evaluation, often within teams that require coverage outside of standard office hours. Professionals in these positions may work remotely or on-site, supporting projects that need continuous operation or global collaboration. Evening shifts can be ideal for those seeking flexible work hours or needing to accommodate other commitments.

What are some common challenges faced by Evening Edge AI Machine Learning professionals and how can they be addressed?

Evening Edge AI Machine Learning professionals often encounter challenges such as managing tight project timelines due to after-hours deployments, troubleshooting unexpected model behavior with limited immediate support, and keeping up with rapid advancements in AI technology. To address these issues, it's helpful to develop strong time management skills, proactively communicate with team members during overlapping hours, and regularly participate in knowledge-sharing sessions. Building a network with other AI professionals and leveraging online resources can also help you stay updated and troubleshoot effectively during evening shifts.

What are the key skills and qualifications needed to thrive as an Evening Edge AI Machine Learning professional, and why are they important?

To thrive as an AI Machine Learning Engineer, you need a strong background in mathematics, programming (Python, R, or Java), and experience with machine learning algorithms, usually supported by a degree in computer science or a related field. Familiarity with technical tools like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure, as well as relevant certifications, is highly beneficial. Creative problem-solving, analytical thinking, and effective communication help you translate complex data insights into actionable solutions and collaborate across teams. These skills and qualifications are essential for developing robust AI solutions that drive innovation and meet business objectives.

What is the difference between Evening Edge Ai Machine Learning vs Data Scientist?

AspectEvening Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related; often a PhD
Work EnvironmentTech companies, startups, or research labs; project-based workCorporate, consulting, or research institutions; data analysis focus
Industry UsageAI product development, automation, predictive modelingBusiness analytics, strategic insights, data-driven decision making

While both roles involve machine learning skills, Evening Edge Ai Machine Learning focuses on developing AI models and algorithms, often in a technical environment. Data Scientists analyze data to extract insights and inform business decisions. The roles overlap in skills but differ in primary focus and application.

What job categories do people searching Evening Edge Ai Machine Learning jobs in Hawaii look for?

The top searched job categories for Evening Edge Ai Machine Learning jobs in Hawaii are:

What cities in Hawaii are hiring for Evening Edge Ai Machine Learning jobs?

Cities in Hawaii with the most Evening Edge Ai Machine Learning job openings:

Infographic showing various Evening Edge Ai Machine Learning job openings in Hawaii as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning Engineer

Cymertek Corporation

Honolulu, HI โ€ข On-site

$150 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Job description

Machine Learning Engineer LOCATION

Honolulu, HI 96815

CLEARANCE

TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)

KEY SUMMARY

We are seeking a talented and innovative Machine Learning Engineer to join our team and help build intelligent systems that drive impactful business solutions. In this role, you will work with cutting-edge technologies to design, develop, and deploy machine learning models that solve complex problems and improve decisionโ€‘making processes. You will collaborate with data scientists, engineers, and product teams to turn data into actionable insights and create scalable models that deliver realโ€‘world value. If you are passionate about artificial intelligence, dataโ€‘driven solutions, and continuously learning in an evolving field, weโ€™d love for you to be part of our team.

*** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. ***

SIMILAR CAREER TITLES

Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML Researcher, Data Analyst, ect.

DEGREE (Level Desired)

Bachelor's Degree

DEGREE (Focus)

Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

ALTERNATE EXPERIENCE

General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.

POSITION RESPONSIBILITIES
  • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
  • Ability to design, implement, and optimize machine learning models and workflows
  • Experience working with large, complex datasets
  • Knowledge of data preprocessing and feature engineering
  • Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
  • Strong problem-solving skills and analytical thinking
REQUIRED SKILLS
  • Proficiency in programming languages (e.g., Python, R, Java)
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Expertise in model evaluation techniques and metrics
  • Strong knowledge of version control tools (e.g., Git)
  • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
  • Understanding of database technologies (e.g., SQL, NoSQL)
DESIRED SKILLS
  • Experience with natural language processing (NLP)
  • Knowledge of deep learning techniques (e.g., CNNs, RNNs)
  • Familiarity with deployment tools (e.g., Docker, Kubernetes)
  • Experience with data augmentation and synthetic data generation
  • Ability to collaborate in cross-functional teams (e.g., engineers, product managers)
  • Knowledge of edge computing and model optimization for deployment
PLUG IN to CYMERTEK - And design your future... YOUR FOREVER CAREER STARTS HERE

Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development.

At our company, you come first. Weโ€™re committed to creating an environment where youโ€™ll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, youโ€™ll feel valued every day.

We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community youโ€™ll never want to leave.

Ready to make your next move the best one? Join us and experience the difference.

BENEFITS
  • Excellent Salaries
  • Flexible Work Schedule
  • Cafeteria Style Benefits
  • 10% - 401k Matching (Vested Immediately)
  • Additional 401k Profit Sharing
  • 30 days Paid Leave/Holiday (No Use or Lose!)
  • The day off for your birthday
  • Medical/Dental/Vision - 100% employee coverage.($1200 allowance - or a bonus)
  • HSA/FSA
  • AFLAC
  • Long Term/Short Term Disability - 100% employee coverage. No cost to you.
  • Life Insurance - 100% employee coverage. No cost to you.
  • Additional Discretionary Life Insurance
  • Paid Training
  • No long, wordy reviews with tons of paperwork!!!
  • Referral bonus program with recurring annual payments
EQUAL OPPORTUNITY EMPLOYER STATEMENT

Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.

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