Mid-Level AI Engineer
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Mid-Level AI Engineer

No longer available

Your responsibilities:

  • Assist in researching and developing algorithms for object identification and behaviour recognition in images and videos.
  • Learn and apply methods for identifying behaviour anomalies to detect deviations from normal patterns.
  • Stay updated on the latest developments in AI, machine learning, and computer vision to contribute to ongoing projects.
  • Collaborate with data collection and annotation teams to support the creation of diverse datasets tailored for detection challenges.
  • Implement data augmentation techniques to enhance the quality and diversity of training datasets.
  • Assist in the development and refinement of deep learning models for tasks related to object and behaviour detection.
  • Contribute to efforts to optimize models for various platforms, striving for efficiency while maintaining real-time performance when needed.
  • Support the implementation of metrics for model evaluation and contribute to ongoing efforts to improve model reliability and accuracy.
  • Collaborate with the software development team to integrate AI models into the company's software solutions.
  • Contribute to the creation and enhancement of software frameworks and tools to facilitate the training, testing, and use of machine learning models.
  • Collaborate with product managers, developers, and senior AI engineers to ensure that AI strategies align with business objectives and client requirements.
  • Collaborate with interns and junior AI engineers, sharing knowledge and insights to support their learning and development.
  • Contribute to documenting methodologies, outcomes, and model architectures for internal use and potential publication.
  • Assist in presenting findings and solutions to both technical and nontechnical stakeholders, ensuring effective communication of results.

To fit this post, we look after:

  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
  • Experience: Intermediate experience in AI research and development for a mid-level role.
  • Familiarity with machine learning frameworks like TensorFlow, PyTorch, and Keras through coursework or personal projects.
  • Skills in Python and exposure to C/C++.
  • Demonstrated understanding of designing, training, and deploying basic deep learning models, particularly for computer vision tasks.
  • Familiarity with essential tools such as OpenCV, Dlib, and other entry-level computer vision libraries.
  • Developing analytical and problem-solving skills.
  • Developing communication and team collaboration skills.
  • Awareness of cloud platforms like AWS, Azure, or GCP, and exposure to deploying basic AI solutions, especially on edge devices, is a plus

Benefits

Social Security

Friendly environment
Friendly schedule
Flexible work location

Learning

Access to our professional development tools and programs
Training certification reimbursement
Recognition and objective performance appraisals for personalized career paths

Perks and bonuses

Bookster
Medical benefits
Referral bonus

Special Events

Team events
Holiday packages
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Razvan Porancea

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