Oceaneering
Location
Pune | India
Job description
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
Passion to develop novel robotics solutions applying the skills in computer vision, AI and Deep Learning
Strong background in mathematics and/or statistics is highly desirable.
Knowledge, Skills, Abilities, and Other Characteristics
Ability to analyze situations accurately, utilizing a variety of analytical techniques in order to make well informed decisions
Ability to effectively prioritize and execute tasks in a high-pressure environment
Skill to gather, analyze and interpret data
Ability to determine and meet customer needs
Ensures that others involved in a project or effort are kept informed about developments and plans
Knowledge of communication styles and techniques
Ability to establish and maintain cooperative working relationships
Skill to prioritize workflow in a changing work environment
Knowledge of applicable data privacy practices and laws
Strong analytical and problem solving skills.
Working Conditions
This position is considered OFFICE WORK which is characterized as follows.
Almost exclusively indoors during the day and occasionally at night
Occasional exposure to airborne dust in the work place
Work surface is stable (flat)
Physical Activity/Requirements
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
This position is considered LIGHT work.
OCCASIONAL | FREQUENT | CONSTANT |
Lift up to 20 pounds Climbing, stooping, kneeling, squatting, and reaching | Lift up to 10 pounds Standing | Repetitive movements of arms and hands Sit with back supported |
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