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Senior ML Engineer
DeepSee.ai
This job is no longer accepting applications
See open jobs at DeepSee.ai.See open jobs similar to "Senior ML Engineer" AllegisCyber Capital.Software Engineering, Data Science
draper, ut, usa
Posted 6+ months ago
DeepSee.ai represents a new category of people-first automation solutions in the wake of frustration with the widespread failure of AI-powered productivity projects to deliver value. We’ve created the world’s first Knowledge Process Automation (KPA) platform to mine unstructured data, operationalize AI-powered insights, and automate results into real-time action for the enterprise. Taking AI-productivity from the lab and into production, the KPA suite is especially useful in highly regulated industries such as the capital markets and insurance verticals, with a business solution flow architecture designed to automate line-of-business problems leveraging the very latest innovations in semantic modeling and natural language processing, all while solving the deployment, scalability, and availability issues that plague most robotic AI initiatives. In a world where enterprises are swimming in data, but very little insight, DeepSee.ai is putting the power of AI and the advantages of knowledge in the hands of the humans.
DeepSee is seeking a self-driven senior machine learning principal (ML) engineer with experience and passion for the creation and operationalization of natural language processing (NLP) machine learning models. We seek an individual who can leverage unstructured data, apply NLP and other ML techniques to deliver insights and solve real world business problems for our customers.
Machine learning is a core product at DeepSee. This individual will help drive the ML efforts on guiding DeepSee’s platform evolution. DeepSee’s platform is a critical component of our strategy to be the industry leader in extraction, reconciliation, and insights of structured and unstructured data. In this senior role, you will be a technical powerhouse for our ML team—designing, establishing, and maintaining the foundational data infrastructure to enable our users.
Job Responsibilities
- Developing production-level code for training and deploying machine learning models
- Collaborating on end-to-end machine learning development pipeline design and leveraging the pipeline for designing, training, testing, and deploying machine learning models
- Designing and implementing models that meet business requirements, continuously iterating on functionality to deliver optimal models for production
- Operating in an Agile environment, conducting research, implementing best techniques, and applying machine learning to solve complex problems
Must Haves
- Advanced degree in Computer Science, Mathematics, or equivalent
- 2+ years of experience as a Machine Learning Engineer, developing production-level code
- 2+ years of experience with machine learning cloud platforms (Amazon, Azure, Google, IBM)
- Experience in implementing Natural Language Processing (NLP) models
- Proficient in working with sparse datasets and implementing engineering and machine learning solutions
- Strong understanding of Software Engineering, Python programming, and deployment on AWS
- Expertise in TensorFlow, PyTorch, or similar machine learning frameworks
- Ability to make technical decisions for the development, maintenance, and deployment of ML pipelines
- Experience in schema design, data modeling, and building data pipelines
- Proficiency in designing and developing ontologies or knowledge representation systems
- Demonstrated practical experience with Hugging Face Transformers
- Experience in developing and working with generative AI models, such as Generative Adversarial Networks (GANs) or Variational Autoencoders (VAEs)
Nice to Haves
- Familiarity with fine-tuning pre-trained models, specifically BERT
- Background in Financial or Insurance technology
- Experience working with TypeDB
Finally, it is important that you align with our values:
Knowledge Over Noise
One Team, One Dream
Be a Seeker
Stay Human
Act Boldly
Believe!
Own It
We offer 100% company paid premiums on health, dental and vision insurance, unlimited PTO, hybrid remote schedule and the chance to work on cutting edge technology with seasoned professionals.
This job is no longer accepting applications
See open jobs at DeepSee.ai.See open jobs similar to "Senior ML Engineer" AllegisCyber Capital.