Machine Learning Engineer for Computer Vision
Machine Learning Engineer for Computer Vision
Posted on :
03-08-2025
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1 Vacancy
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Job Description
As a key member of our team youll collaborate with different engineering and operations teams leading development of ML solutions for a variety of vision and language-based tasks and projects. You will be responsible for delivering ML technologies aligned with the fast pace new technology and short product lifecycle while ensuring the highest standards of product quality and this role youll be embedded inside a vibrant team of machine learning engineers and data scientists. Youll be expected to help conceive code and deploy machine learning models at scale using the latest industry tools. Important skills include data wrangling feature engineering developing models and testing metric. You will have the opportunity to work both independently and collaboratively to help partner teams meet predefined objectives. If you are passionate to influence the quality speed and efficiency of our ML algorithms come and help enable our vision to create the most refined products in the our team as a key contributor leading the development of machine learning solutions for diverse tasks and projects. Collaborate with engineering and operations teams to deliver cutting-edge ML technologies ensuring top-tier product quality and reliability in a fast-paced environment.- Develop and deploy scalable Computer Vision and Machine Learning algorithms on local and cloud-based inferencing platforms.- Perform rapid prototyping to design algorithms for challenging real world manufacturing problems in the domain of Intelligent Visual Inspection.- Leverage Large Language Models to automate document analysis knowledge extraction and process optimization within manufacturing workflow.- Fine-tune LLMs for domain-specific applications such as improving operational documentation production reports and automating technical analysis.- Work with resources in cross-functional teams and the factory to integrate ML applications.- Abilities to independently learn new technologies; prioritize tasks and take ownership; and meaningfully present results of analyses in a clear and impactful manner.
- Experience developing deep learning models such as CNNs Vision Transformers or YOLO for image-based tasks in production systems.
- Proven research and practical experience in developing algorithms for image processing content-based video/image analysis object detection segmentation and tracking
- Proven experience in fine-tuning LLMs for domain-specific use cases such as document analysis and operational efficiency.
- Masters in computer science Machine Learning or higher level degree is preferred with of 3 years of related industry experience in Machine Learning Computer Science Data Science or related fields.
- iOS CoreImage/CoreML and native App development experience is a big plus.
- Experience deploying ML models in cloud environments (AWS GCP or Azure) for scalable production use.
- Strong grasp of deep learning principles in both Computer Vision and Natural Language Processing (NLP).
- Familiarity with LLM architectures like BERT GPT and experience fine-tuning these models for improved performance in manufacturing settings.
- Knowledge of machine learning and Deep Learning libraries such as PyTorch OpenCV Hugging Face is essential.
- Proven ability to implement improve debug and maintain machine learning models.
- Familiar with version control systems such as Git.
- Strong optimization and debugging skills.
- Self-motivated responsible excellent written and verbal interpersonal skills.
- Experience with handling and visualizing very large data sets and creating performance reports.
Employment Type
Full Time
Key Skills
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