AI Deep Learning vacancy in Sheduva Lithuania

AI Deep Learning Specialist
Location: Sheduva, Canada or the Philippines (preference for Canadian or Filipino applicants)


Our AI Deep Learning Specialist will be responsible for designing, developing and implementing deep learning algorithms and models to solve complex problems in various industries. This role requires a strong background in artificial intelligence, machine learning and deep learning techniques. The ideal candidate will have experience with programming languages such as Python and TensorFlow, as well as a solid understanding of data structures and algorithms. They should also have excellent problem-solving skills and the ability to work independently. This is a full-time position with a salary of 1600$ per month, with the option of part-time employment. Accommodation can be provided for non-local candidates.

Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics or related field
- Minimum of 3 years experience in AI deep learning development
- Proficiency in programming languages such as Python and TensorFlow
- Strong understanding of data structures and algorithms
- Experience with machine learning libraries such as Keras, PyTorch or scikit-learn
- Ability to work independently and solve complex problems
- Excellent communication skills

Responsibilities:
- Design, develop and implement deep learning algorithms and models to solve complex problems in various industries
- Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying deep learning techniques
- Conduct research on new techniques and technologies to improve our AI capabilities
- Preprocess data for training deep learning models, including data cleaning, feature selection and transformation
- Train deep learning models using existing datasets or generating new ones when necessary
- Evaluate model performance using metrics such as accuracy, precision, recall, etc.
- Optimize model parameters using techniques like grid search or Bayesian optimization
- Communicate results and findings to stakeholders clearly and effectively