JOB OVERVIEW

We are seeking a highly skilled AI/ML Engineer to join our innovative team. The ideal candidate will be responsible for designing, developing, and implementing machine learning models and algorithms that drive our AI initiatives. This role requires a strong background in computer science and software development, as well as expertise in various machine learning frameworks and techniques. The successful candidate will work collaboratively with cross-functional teams to deliver cutting-edge solutions in areas such as computer vision, natural language processing, and robotics.

QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proven experience in machine learning, data mining, and algorithm design.
• Strong programming skills in Python, Java, R, C++, C#, and familiarity with SQL.
• Experience with machine learning frameworks such as TensorFlow and PyTorch.
• Knowledge of computer vision techniques and natural language processing methodologies.
• Familiarity with AWS cloud services for deploying AI solutions is a plus.
• Understanding of robotics principles and quantum engineering concepts is advantageous.
• Excellent problem-solving skills with the ability to conduct thorough research on emerging technologies.
• Strong communication skills to collaborate effectively within a team-oriented environment. Join us in shaping the future of technology through innovative AI solutions!
  Job Type: Full-time
  Pay: $99,716.49 - $120,088.67 per year
  Work Location: In perso

• Design and develop machine learning models using frameworks such as TensorFlow, PyTorch, and MATLAB.
• Implement algorithms for computer vision, natural language processing, and unsupervised learning.
• Conduct research & development to explore new AI methodologies and technologies.
• Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems.
• Perform data mining and signal processing to extract meaningful insights from large datasets.
• Train models using various programming languages including Python, Java, R, C++, C#, and SQL.
• Optimize model performance through algorithm design and model training techniques.
• Maintain a robust understanding of Linux environments for deployment of AI applications.
• Engage in continuous learning to stay updated on advancements in AI/ML technologies.