We are looking for a Computer Vision Engineer to join our team and contribute to the development of cutting-edge computer vision technologies. As a Computer Vision Engineer, you will be responsible for designing, implementing, and optimizing algorithms and systems that enable machines to interpret and process visual data. Your work will play a critical role in advancing applications such as object detection, image recognition, video analysis, and augmented reality. You will collaborate with a multidisciplinary team of engineers, researchers, and product managers to deliver innovative solutions that meet the needs of our clients and end-users. The ideal candidate is passionate about computer vision, has a strong background in machine learning and image processing, and is eager to tackle challenging problems in a fast-paced environment. You will have the opportunity to work with state-of-the-art tools and technologies, contribute to research and development, and see your work make a tangible impact in real-world applications. If you are excited about the prospect of shaping the future of computer vision and artificial intelligence, we encourage you to apply.

Responsibilities

• Develop and implement computer vision algorithms for image and video analysis.
• Optimize and deploy computer vision models for real-time applications.
• Collaborate with cross-functional teams to integrate computer vision solutions into products.
• Conduct research to stay updated on the latest advancements in computer vision and machine learning.
• Analyze and preprocess large datasets for training and testing models.
• Debug and troubleshoot issues in computer vision systems and pipelines.
• Document technical designs, processes, and results for internal and external stakeholders.
• Contribute to the development of prototypes and proof-of-concept projects.

Skills and qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
• Strong understanding of computer vision concepts and techniques.
• Proficiency in programming languages such as Python, C++, or Java.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or OpenCV.
• Familiarity with deep learning architectures for image and video processing.
• Strong problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.
• Excellent communication and documentation skills.

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Looking for a machine learning engineer to build efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. The candidate should also be able to execute tests and optimize Leaniars machine learning models and algorithms.

Objectives of this role

• Design and develop machine learning algorithms and deep learning applications and systems for Leaniar.
• Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks 
• Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications   
• Identify differences in data distribution that could potentially affect model performance in real-world applications
• Ensure algorithms generate accurate user recommendations
• Stay up to date with developments in the machine learning industry

Responsibilities

• Study and transform data science prototypes and apply appropriate machine learning algorithms and tools 
• Run machine learning tests and experiments, and document findings and results 
• Train, retrain, and monitor machine learning systems and models as needed 
• Construct optimized data pipelines to feed machine learning models
• Consult with managers to determine and refine machine learning objectives 
• Extend existing machine learning libraries and frameworks 

Skills and qualifications

• Impeccable analytical and problem-solving skills 
• Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms 
• In-depth knowledge of machine learning frameworks, like Keras or PyTorch
• Familiarity with data structures, data modeling, and software architecture 
• Excellent time management and organizational skills
• Desire to learn

Preferred qualifications

• Proven experience as a machine learning engineer or similar role 
• Familiarity with Python, Java, and R 
• Excellent communication and collaboration skills
• Innovative mind with a passion for continuous learning 
• General knowledge of building machine learning systems 
• Masters or Bachelor’s degree (or equivalent) in computer science, mathematics, or related field

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