Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
Docsumo, a cutting-edge Document AI solution backed by prominent investors like Sequoia and Barclays, is seeking a Senior Machine Learning Engineer to join their innovative team. This role offers an exciting opportunity to lead and shape the future of intelligent document processing, working directly with the CTO and Data Science teams.
The position requires a seasoned professional with 4+ years of experience in machine learning, deep learning, NLP, and computer vision. As a Senior ML Engineer, you'll be responsible for developing advanced machine learning systems, conducting research on Large Language Models, and leading a team of data scientists and engineers. The role offers clear progression paths to leadership positions like Lead ML Engineer.
Working in a hybrid setup in Kathmandu or remotely from India, you'll be part of a dynamic environment that's revolutionizing how businesses handle data. The company's technology helps businesses boost efficiency by 6-10 times and make quick, accurate decisions from unstructured information. You'll be working with cutting-edge technologies including PyTorch, TensorFlow, and various cloud platforms.
The ideal candidate should have strong leadership experience, proven expertise in machine learning technologies, and a solid educational background in relevant fields. This is an excellent opportunity for someone who wants to make a significant impact in the document processing AI space while working with a talented team and modern tech stack. The role offers the perfect blend of technical challenges, leadership opportunities, and the chance to work on innovative solutions that directly impact business operations.
Responsibilities For Senior Machine Learning Engineer
- Collaborate with cross-functional teams to design, develop, and implement advanced machine learning systems
- Conduct research in machine learning, focusing on Large Language Models (LLMs)
- Lead and mentor a team of data scientists and machine learning engineers
- Plan and manage full lifecycle of ML projects
- Develop and apply machine learning algorithms for complex business challenges
- Participate in Agile development processes
- Document machine learning methodologies and maintain testing standards
- Drive integration and optimization of LLMs and advanced models
Requirements For Senior Machine Learning Engineer
- 4+ years of industry experience in machine learning, deep learning, NLP, and computer vision
- 1-2 years of experience leading teams of 4-5+ ML scientists and engineers
- Proficiency in PyTorch and TensorFlow
- Strong skills in classification and regression techniques
- Experience with Transformers (BERT, GPT)
- Proficiency in Python and OOP principles
- Experience with Git, AWS, Google Cloud, Docker, and Kubernetes
- Bachelor's degree in Computer Science, Statistics, Machine Learning, Physics, Mathematics, or related field
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