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 Principal Data Scientist (Computer Vision) will develop Machine Learning and/or Deep Learning based integrated solutions that address customer needs 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
§Lead and supervise a team of moderately experienced engineers on product/prototype design & development assignments or applications in the Software/Computer Vision/Machine learning/Deep learning/GenAI domain
§Architect vision based solutions by selection of appropriate technology and components
§Lead and conduct advanced research for Computer Vision
§Work with third parties to utilize off the shelf industrial solutions
§Iteratively develop proof-of-concept implementations, prototypes and demos to fine-tune technologies to practical, state of the art systems
§Innovate and develop algorithms and solutions to advance Object tracking and classification
§Algorithm development on key research areas based on client’s technical problem. This requires constant paper reading, and staying ahead of the game by knowing what is and will be state of the art in this field.
§Ability to work hands-on in cross-functional teams with a strong sense of self-direction
NON-ESSENTIAL
§Develop an awareness of programming and design alternatives
§Cultivate and disseminate knowledge of application development best practices
§Gather statistics and prepare and write reports on the status of the programming process for discussion with management and/or team members
§Direct research on emerging application development software products, languages, and standards in support of procurement and development efforts
§Train, manage and provide guidance to junior staff
§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 eight 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 six or more years of past experience working on Computer Vision and Deep Learning based projects
DESIRED
§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 inner working of any vision software (such as OpenCV, PCL, CNN)
§Technically fluent in programming languages, including Python, 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
§Must be able to learn, understand, and apply new technologies
§Strong coding skills.
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