Overview
Since year 2003, Oceaneering’s India Center has been an integral part of operations for Oceaneering’s robust product and service offerings across the globe. This center caters to diverse business needs, from oil and gas field infrastructure, subsea robotics to automated material handling & logistics.
Our multidisciplinary team offers a wide spectrum of solutions, encompassing Subsea Engineering, Robotics, Automation, Control Systems, Software Development, Asset Integrity Management, Inspection, ROV operations, Field Network Management, Graphics Design & Animation, and more.
In addition to these technical functions, Oceaneering India Center plays host to several crucial business functions, including Finance, Supply Chain Management (SCM), Information Technology (IT), Human Resources (HR), and Health, Safety & Environment (HSE).
Our world class infrastructure in India includes modern offices, industry-leading tools and software, equipped labs, and beautiful campuses aligned with the future way of work. Oceaneering in India as well as globally has a great work culture that is flexible, transparent, and collaborative with great team synergy.
At Oceaneering India Center, we take pride in “Solving the Unsolvable” by leveraging the diverse expertise within our team. Join us in shaping the future of technology and engineering solutions on a global scale.
Position Summary and Location
The Senior Data Scientist 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. He/She will also be responsible for development of machine vision algorithms for automation and development of data analytics programs for Oceaneering’s next generation systems.
The position requires the Senior Data Scientist to work with various Oceaneering Business units across global time zones but also offers the flexibility to work in a Hybrid Work-office environment.
Duties and Responsibilities
ESSENTIAL
·Lead and supervise a team of entry level engineers on product/prototype design & development assignments or applications in the Software/Computer Vision/Machine learning/Deep learning domain.
·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
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
Supervisory Responsibilities
·This position has/does not have direct supervisory responsibilities.
Reporting Relationship
Manager - AIML Engineering
Qualifications
REQUIRED
·Bachelor’s degree in Computer Science or Software Engineer (or related field) with five 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 three 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
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