Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. We develop products and services for use throughout the lifecycle of an offshore oilfield, from drilling to decommissioning. We operate the world's premier fleet of work class ROVs. Additionally, we are a leader in offshore oilfield maintenance services, umbilicals, subsea hardware, and tooling. We also use applied technology expertise to serve the defense, entertainment, material handling, aerospace, science, and renewable energy industries.
Purpose
The Data Scientists will develop integrated Machine Learning and/or Deep Learning based solutions on products that address customer needs in operations such as inspection topside and subsea. They will also be responsible for development of machine vision algorithms for automation and development of data analytics programs for Oceaneering’s next generation systems.
Functions
ESSENTIAL
§Work with minimal supervision to develop robust computer vision algorithms that will be deployed in existing and new products
§Take ideas and algorithms from first conception to real-world, real-time implementation and deployment
§Conduct advanced research, benchmark and implement Computer Vision, Image processing and Deep Learning algorithms for integration into Company products
§Innovate, adopt and develop algorithms and solutions to advance Object tracking and classification
§Iteratively develop proof-of-concept implementations, prototypes and demos to fine-tune technologies to practical, state of the art systems
§Support the technical direction and strategy for solving complex, significant, or major issues.
§Prepares design proposals to reflect cost, schedule and technical approaches.
§Work with third parties to utilize off-the-shelf industrial solutions
§Work directly with software engineers to implement algorithms into commercial software products.
§Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
§Assess the effectiveness and accuracy of new data sources and data gathering techniques.
§Develop custom data models and algorithms to apply to data sets.
§Build data models and organize structured and unstructured data to interpret solutions.
§Develop scalable infrastructure, including microservices and backend, that automates training and deployment of ML models
§Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively communicating your needs and understanding theirs and address external and internal shareholder's product challenges
§Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
§Perform all other duties as requested, directed or assigned
Supervisory Responsibilities
§This position has NO direct supervisory responsibilities.
Reporting Relationship
§This person will be reporting to a Product Development Manager in the Technology group.
Qualifications
REQUIRED
§Bachelor’s degree in Computer Science or Software Engineer (or related field) with three or more years of past experience working on Computer Vision and Deep Learning based projects
OR
Master’s degree in Computer Science or Software Engineering (or related field) with one or more years of past experience working on Computer Vision and Deep Learning based projects
§Technically fluent in programming languages, including C, C++, Java, C# and other object oriented paradigms
§Competent and proficient understanding of platforms such as UNIX (Solaris and Linux) and Windows
§Hands-on software troubleshooting experience
§Edge based and/or cloud based AI/ML Code deployment experience (DevOps)
§Experience with Azure Cloud based ML services
§Must be able to learn, understand, and apply new technologies
§Strong coding skills.
§Experience in computer vision, image processing and other related applied engineering fields.
DESIRED
§Knowledge of git and version control
§Familiarity with NVIDIA's Jetson Board & Deep Stream Framework on Linux/Ubuntu machines
§Demonstrated strong capability in statistical/Mathematical modelling or Machine Learning or Artificial Intelligence with Demonstrated skills in programming for implementation and deployment of algorithms preferably in Statistical/ML based programming languages in Python
§Knowledge of inner working of any vision software (such as OpenCV, PCL, CNN)
§Knowledge of Machine Learning, Natural Language Processing, Large Scale Data Mining or Artifical Intelligence
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