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Advanced Machine Learning Engineer Position
1 week ago
At ATS Software, we're committed to using technology to revolutionize engineering and design processes. Our company culture values diversity, inclusivity, and innovation, providing a dynamic environment where professionals can grow and develop their skills.
The Job Description
This role involves developing advanced machine learning models and integrating them into our application ecosystem. The successful candidate will have expertise in deep learning algorithms, computer vision, and NLP, with a focus on large language models (LLMs) and optical character recognition (OCR).
Key Responsibilities:
- Develop and train advanced machine learning models, focusing on large language models (LLMs) and optical character recognition (OCR)
- Refine our codebase and adopt MLOps practices to enhance the machine learning lifecycle across modalities, from data preparation to deployment and monitoring
- Collaborate with data engineers and data scientists to ensure data quality and model accuracy, focusing on enhancing performance and scalability under the guidance of senior leadership
Essential Skills and Qualifications:
- Strong knowledge and experience with deep learning algorithms such as RCNN, LSTM, and Transformers, particularly applied to various modalities like text and vision
- Demonstrated experience working with machine learning models in computer vision and NLP, showcasing the ability to tackle complex, interdisciplinary problems through innovative ML solutions
- Familiarity with MLOps platforms such as AWS SageMaker, Databricks, and Weights & Biases, with a competency in leveraging these tools to streamline the ML lifecycle across various data modalities
- Experience in writing clean, efficient code following Object-Oriented Programming (OOP) principles and coding best practices, with a proven ability to navigate and contribute to complex codebases
What We Offer:
- Competitive salary
- Opportunities for career growth and development
- Comprehensive benefits package for full-time employees
- A dynamic and inclusive work environment
- Access to cutting-edge technology and tools
- Recognition and rewards for outstanding performance