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Cloud Engineer for Machine Learning Solutions
2 weeks ago
We are an international company with a diverse team of over 40 nationalities. Our core values prioritize equal opportunities, career development, and a healthy work-life balance.
Job DescriptionAs a Machine Learning Engineer, you will be part of a dynamic team responsible for developing and optimizing our document processing engine. Your key responsibilities will include:
- Engine Optimization: Enhance and maintain our Python-based document processing engine using neural networks, heuristic rules, and post-processing techniques.
- Pipeline Design: Design and optimize Dagster pipelines to produce high-quality training and evaluation datasets.
- ML Training Pipelines: Build ML training pipelines in Azure ML using PyTorch and Hugging Face Transformers.
- Integration and Deployment: Integrate third-party OCR and document processing solutions to expand capabilities, deploy and scale models with Triton Inference Server and Azure ML.
- Evaluation Frameworks: Develop evaluation frameworks for tasks like NER, classification, similarity detection, and semantic search.
- Diversity and Inclusion: Join an international team with people from over 40 different countries.
- Career Development: Enjoy a career development path that matches your personal goals and promotes a sense of belonging.
- Healthy Work-Life Balance: Prioritize your physical and mental health through internal initiatives and flexible work arrangements.
- Innovative Environment: Collaborate with knowledgeable, innovative, and helpful colleagues who share your vision.