About Vulcan AI Technologies Pte Ltd
Vulcan-AI is an enterprise AI solution provider that helps enterprises do more with less. We build AI to better manage the Internet of Things (IoT) and power responsible enterprises. Our intelligent applications incorporate industry, functional processes, and engineering know-how into AI applications that can be deployed >10X faster than typical consulting engagements. Our products are elegantly and beautifully designed, creating a User Experience that both Users and Enterprises love. Our goal is to democratize AI and make it easily accessible to our clients at a fraction of the cost and a faster time to market compared to current approaches. Our team works on cutting-edge tools and technologies related to artificial intelligence and IoT. We offer a fun environment where you are an inventor at our AI & IOT garage where the digital and physical world come together to create new solutions/products.
At Vulcan AI, you’ll work with a team of people who are passionate about AI, IoT, and Big Data. The founding members are leaders from Accenture and EY who incubated and scaled AI practices. The Management Team has a successful track record of delivering successful AI and IoT projects across APAC and building analytics businesses. Our AI team members have several research papers and patents in the field. You will be working with, and learning from the best.
We have built a set of patented products that leverage Deep Learning and computer vision, including remote sensing & deep learning to enable better commercial decisions for our clients in agriculture, Vision AI on the edge for a variety of industrial use cases and worker safety, Tiny ML to run our code on micro-controllers etc.
About the Role
As an AI Scientist, you will work on translating business problems to data science questions, and selecting appropriate AI algorithms and pipeline to answer these questions. Finally, you will be responsible for implementing this into the product and making it available to our customers. Qualified candidates will have an in-depth knowledge of machine learning techniques and their application. You will also be able to tune, validate, and test these models in the Vulcan.ai platform.
We are also looking for Machine Learning Engineering experts who have experience in building and optimizing AI pipelines and deploying these in production / enterprise software. Experience with MLOps and CI/CD for AI software development and deployment will be a plus.
Your Responsibilities
- Develop new deep learning pipelines & models in different domains such as agriculture, manufacturing, safety, and security etc.
- Collaborate with subject matter experts from our clients and Vulcan AI to ensure we are using the right features and data elements in the model.
- Be responsible for the end-to-end lifecycle of AI pipelines including identifying modeling approaches, performance evaluation and hyper-parameter tuning, building and testing of pipelines, optimizing pipelines based on the production environment, and post-deployment improvements to the model(s).
Requirements
- Experience in deploying Deep Learning / ML pipelines in production and CI/CD experience.
- Highly skilled in at least one of the following: Python or C++, and proficient in either TensorFlow or PyTorch.
- Familiarity with Cloud platform and code deployment tools, especially in relation to Microsoft Azure.
- Smart, motivated, can-do attitude, and seeks to make a difference.
- Excellent verbal and written communication.
Preferred Qualifications
- Degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
- Strong mathematical background (linear algebra, calculus, probability, and statistics).
- Prior experience in deploying AI models on the edge, including frameworks TFLite, OpenVino, TensorRT, and optimizing models based on compute constraints.
- Have held at least one ML or software engineering related position for a minimum of 3 years.
- Portfolio of projects and papers in the domain of AI and IoT is a plus.