AI/ML Engineer

We are seeking a skilled AI/ML Engineer with a solid foundation in machine learning algorithms and strong expertise in Python. The ideal candidate will have experience in applying AI/ML techniques to various types of data and will be knowledgeable about essential AI/ML tools. A Bachelor’s degree in Data Science or a related field is preferred. Familiarity with computer vision and experience training vision data are also valuable.

• 1 - 2 years of professional experience as an AI/ML Engineer or in a similar role.
• Bachelor’s degree in Data Science, Computer Science, Artificial Intelligence, or a related field (Data Science graduates preferred).
• Strong proficiency in Python and familiarity with key libraries for machine learning and data science.
• Experience with 𝐃𝐣𝐚𝐧𝐠𝐨 and 𝐅𝐥𝐚𝐬𝐤 for building RESTful APIs to support AI/ML model deployment.
• In-depth knowledge of machine learning algorithms and experience in training, tuning, and deploying models.
• Experience with AI/ML tools and frameworks (e.g., TensorFlow, Keras, PyTorch, Scikit-learn).
• Hands-on experience with 𝐒𝐞𝐥𝐞𝐧𝐢𝐮𝐦, 𝐁𝐞𝐚𝐮𝐭𝐢𝐟𝐮𝐥 𝐒𝐨𝐮𝐩, and 𝐒𝐜𝐫𝐚𝐩𝐲 for data scraping and extraction.
• Hands-on experience with computer vision concepts and tools, with the ability to train and handle vision-based datasets, is a plus.
• Solid understanding of data preprocessing, model evaluation, and performance optimization.

Responsibilities:

• Develop, train, and deploy machine learning models tailored to specific data types and project needs.
• Conduct data preprocessing, feature engineering, and model evaluation to ensure optimal model performance.
• Implement and optimize a variety of machine learning algorithms, including supervised, unsupervised, and deep learning techniques.
• Utilize Python and AI/ML libraries (such as TensorFlow, PyTorch, and Scikit-learn) to develop scalable solutions.
• Work with large datasets, particularly in computer vision and image recognition, when applicable.
• Collaborate with cross-functional teams to integrate AI/ML solutions into production.
• Stay updated on advancements in AI/ML tools and techniques to continually enhance our solutions.

Soft Skills:

• Excellent problem-solving skills and analytical thinking.
• Strong communication skills and ability to work collaboratively in a team environment.
• Ability to stay organized and manage multiple projects with attention to detail.