Ottimate is looking to solve the problem of automating Accounts Payable processes for finance teams, reducing costs, preventing overpayments, detecting fraud, and enforcing policy compliance across the entire invoice-to-payment lifecycle.
Requirements
- Masters or PhD in computer science or related fields
- 4+ years of total experience out of which minimum 2 years of experience in building and deploying Machine Learning / Deep Learning models in a production setting
- Strong software engineering and computer science fundamentals, with experience building and deploying Deep Learning models to production.
- Strong background and experience in Python
- Strong skills in working with multiple codebases, version control and CI/CD.
- Strong understanding of Machine Learning and Deep Learning fundamentals, with ability to read and understand cutting edge research papers and implement them in any popular framework.
- Experience/ Expertise in any of the following: Computer vision, Natural Language Processing, deep learning, non convex optimization, neural networks, active learning, few shot learning, meta learning, CNNs, RNNs, reinforcement learning.
Responsibilities
- Build deep learning models for a variety of image and text based tasks. Eg: Instance segmentation, image2text, text parsing, image/text classification, few shot and active learning.
- Build and optimize infrastructure for training, deploying, bench-marking and monitoring large scale deep learning models
- Build infrastructure for dataset discovery, collection and pre-processing
- Read and be aware of state of the art research in computer vision, text processing, active learning and adapt them to problems that we solve at Ottimate
- Design, develop and deploy machine learning models that advance the state of the art in extracting structured information from images and documents, and help businesses automate document based workflows.
- Train and bench marking models, monitoring performance and brainstorming with other engineers in the team
- Analyze datasets, work on infrastructure and dev ops
Other
- Masters or PhD in computer science or related fields
- 4+ years of total experience
- Strong communication skills and are able to explain complex technical topics to the entire team in a clear and concise way
- Ability to work with sharp, passionate teammates solving some of the most unique challenges and positioning our product as a premier finance automation solution.
- Commitment to empowering a diverse and inclusive workforce, celebrating differences, and creating a safe space for our employees to bring their whole selves to work
