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AI/ML Engineer

Cymertek

AI/ML Engineer

We are seeking a passionate and innovative AI/ML Engineer to join our team and drive cutting-edge solutions in artificial intelligence and machine learning. In this role, you will design, develop, and deploy intelligent systems that solve complex problems and enhance business outcomes. You will collaborate with cross-functional teams to identify opportunities for AI/ML applications, build scalable models, and integrate them into our products and services. Ideal candidates thrive in dynamic environments, demonstrate strong problem-solving skills, and have a deep understanding of machine learning algorithms, frameworks, and best practices. If you are excited to push the boundaries of technology and make an impact through AI, we want to hear from you.

*** 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 positions. 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. ***

Machine Learning Engineer, Artificial Intelligence Engineer, Data Scientist, Deep Learning Engineer, NLP Engineer, Computer Vision Engineer, AI Research Scientist, Robotics Engineer, Applied Machine Learning Engineer, AI Specialist, etc.

Bachelor's Degree

Computer Science, Artificial Intelligence, Machine Learning, Data Science, Robotics, Electrical Engineering, Mathematics, Statistics, Computational Linguistics, Software Engineering, etc.

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.

Proven ability to design AI/ML models

Experience integrating AI systems

Strong foundation in algorithm development

Familiarity with model optimization methods

Proficiency in deploying models at scale

Understanding of AI ethics and compliance

Proficiency in programming (e.g., Python)

Knowledge of ML frameworks (e.g., TensorFlow)

Ability to preprocess and analyze datasets

Expertise in supervised and unsupervised learning

Familiarity with cloud-based AI tools

Skill in debugging and testing AI models

Knowledge of reinforcement learning

Familiarity with generative AI models

Experience in edge AI implementation

Expertise in natural language processing

Proficiency in computer vision techniques

Understanding of emerging AI/ML trends

Vacancy posted 4 days ago
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