TEKTRA

WHAT YOU'LL BE RESPONSIBLE FOR:

 Develop and implement machine learning models and algorithms to solve complex business problems and enhance AI-driven applications.

 Collaborate with cross-functional teams, including data scientists and software engineers, to integrate AI solutions into existing products and services.

 Conduct data analysis, preprocessing, and feature engineering to extract valuable insights from large datasets, improving model performance.

 Stay updated on the latest AI and machine learning advancements, research papers, and tools, incorporating them into AI development projects.

 Optimize AI models for performance, scalability, and efficiency, leveraging cloud-based resources and distributed computing frameworks.

 Actively participate in code reviews and collaborative problem-solving sessions, contributing to the improvement of AI solutions and development processes.

 Troubleshoot and resolve AI-related issues, ensuring the reliability and accuracy of AI-driven applications.

JOB QUALIFICATIONS

 Bachelor’s Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent hands-on experience in AI development.

 Minimum 3+ years of experience in AI Engineer role

 Proven track record as an AI Engineer, with portfolio examples of successful machine learning or AI projects.

 Proficiency in programming languages commonly used in AI, such as Python, R, or Java, and experience with ML frameworks like TensorFlow or PyTorch.

 Familiarity with data preprocessing, feature engineering, and model evaluation techniques essential for machine learning projects.

 Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and neural networks.

 Hands-on experience with Natural Language Processing (NLP), computer vision, or other AI subfields.

 Solid grasp of mathematical concepts relevant to AI, such as linear algebra, calculus, and statistics.

 Experience with version control systems like Git, enabling effective collaboration and code management.

 Strong analytical and problem-solving skills, crucial for algorithm development and data analysis.

 Exceptional communication skills, enabling effective collaboration with both technical teams and business stakeholders to translate AI capabilities into business value.

 Strong English speaking and writing skills