Senior Data Scientist

Oceaneering; India; On-site; INR 2,600,000 - 4,800,000; Full time

Job summary

Oceaneering India Center is seeking a Senior Data Scientist to develop, test, and deploy machine learning, perception and autonomy solutions for inspection, navigation and intervention tasks. You will work across CV, sensor fusion, SLAM, mapping and planning within established product architectures.

The role is hands-on with ownership of technical work packages, collaboration with cross-functional teams, and field validation support, driving production-quality components.

Qualifications

• Bachelor’s degree with 5+ years in CV, robotics, autonomous systems or ML.
• Master’s degree with 3+ years in CV, robotics, autonomous systems or ML.

Responsibilities

• Develop and integrate computer vision and robotic perception components for detection, classification and scene understanding.
• Implement sensor fusion using cameras, lidar, sonar, inertial sensors and telemetry.
• Contribute to SLAM, localization, mapping, calibration and state estimation.

Skills

Python programming

C++ programming

Deep learning

Computer vision

Analytical thinking

Team collaboration

Education

Bachelor's degree

Master's degree

Tools

ROS/ROS2

OpenCV

PCL

PyTorch

TensorFlow

Gazebo

NVIDIA Isaac Sim

Job description

Job Description:

The Senior Data Scientist (Computer Vision, Robotics and Autonomy) will develop, test, and deploy machine learning, perception, and autonomy solutions for inspection, navigation, intervention, and related operational needs. Working within established product and system architectures, the role contributes computer vision, sensor-fusion, localization, mapping, planning, control, and data-analysis capabilities. The position is a hands-on senior individual contributor who owns assigned technical tasks or defined work packages, collaborates with cross-functional teams, supports field validation, and provides peer guidance without holding organization-wide architecture or research leadership responsibility.

Responsibilities

• Develop, test, and integrate computer vision and robotic‑perception components for detection, classification, tracking, inspection, measurement, and scene understanding under guidance from product or technical leads.
• Implement and evaluate sensor-fusion methods using cameras, sonar, lidar, radar, inertial sensors, depth sensors, and vehicle telemetry within defined system interfaces.
• Contribute to visual, sonar, and multi-sensor SLAM, localization, mapping, calibration, state‑estimation, and uncertainty‑management capabilities for challenging environments.
• Implement and evaluate path, trajectory, task, and behavior‑planning methods, including obstacle avoidance and motion‑control interfaces, for defined operational scenarios.
• Apply suitable deep‑learning, reinforcement‑learning, imitation‑learning, or human‑in‑the‑loop techniques to scoped problems using agreed validation criteria and safety controls.
• Prepare and maintain datasets through collection, annotation, quality checks, synthetic‑data generation, augmentation, experiment execution, and performance analysis.
• Use established simulation and verification workflows for software‑in‑the‑loop, hardware‑in‑the‑loop, scenario‑based, sim‑to‑real, and field testing.
• Convert allocated customer and system requirements into component designs, interfaces, implementation tasks, tests, and traceable engineering evidence.
• Own defined technical tasks or work packages and contribute to architecture and design reviews by identifying implementation risks and recommending practical mitigations.
• Develop proof‑of‑concept implementations and prototypes, then help mature approved concepts into maintainable, testable, production‑quality components.
• Optimize and deploy algorithms on edge and real‑time computing platforms within agreed accuracy, latency, throughput, power, reliability, and hardware constraints.
• Collaborate with software, systems, controls, electrical/electronics, mechanical, test, and operations teams to integrate assigned autonomy capabilities into complete products.
• Assess selected third‑party and open‑source components, documenting technical trade‑offs, licensing considerations, integration risks, and findings for review.
• Maintain awareness of relevant research and engineering practices and recommend applicable improvements to assigned products or work packages.
• Share technical knowledge, review work, support less‑experienced colleagues, communicate progress and risks, and contribute to technical reports, demonstrations, proposals, and customer discussions.

Qualifications

REQUIRED

• Bachelor’s degree in computer science, Data Science, Artificial Intelligence, Machine Learning, Robotics, Electrical/Electronics Engineering, Software Engineering, or a related engineering field, with five or more years of relevant professional experience in computer vision, robotics, autonomous systems, or applied machine learning.

  OR

• Master’s degree in computer science, Data Science, Artificial Intelligence, Machine Learning, Robotics, Electrical/Electronics Engineering, Software Engineering, or a related engineering field, with three or more years of relevant professional experience in computer vision, robotics, autonomous systems, or applied machine learning.

DESIRED

• Strong programming skills in Python and C++, with sound object‑oriented design, software engineering, debugging, testing, and version‑control practices.

• Hands‑on experience with computer vision, image processing, deep learning, and 3D perception using frameworks or libraries such as OpenCV, PCL, PyTorch, TensorFlow, ONNX, or equivalent technologies.

• Practical experience in robotic perception, multi‑sensor fusion, visual or sonar SLAM, localization, mapping, calibration, state estimation, or navigation.

• Knowledge of path planning, trajectory generation, task and behavior planning, obstacle avoidance, motion control, and autonomous decision‑making.

• Experience with reinforcement learning, imitation learning, offline reinforcement learning, human‑in‑the‑loop learning, or RLHF is desirable where relevant to robotics and autonomy.

• Experience with ROS or ROS 2 and robotics simulation environments such as Gazebo, NVIDIA Isaac Sim, MATLAB/Simulink, or comparable tools.

• Experience with synthetic data, scenario generation, software‑in‑the‑loop or hardware‑in‑the‑loop testing, sim‑to‑real transfer, field validation, and safety‑oriented verification of autonomy functions.

• Experience deploying optimized AI and robotics workloads to edge accelerators and real‑time systems, such as NVIDIA Jetson, GPUs, embedded Linux platforms, or equivalent hardware.

• Working knowledge of Linux and Windows, CI/CD, containers, MLOps or DevOps practices, model versioning, experiment tracking, and reproducible deployment.

• Experience with Azure Machine Learning or comparable cloud AI/ML services is desirable.

• Strong foundation in linear algebra, geometry, optimization, probability, statistics, estimation theory, and numerical methods.

• Ability to implement defined technical approaches, evaluate alternatives within an assigned scope, identify technical risks, and communicate design rationale and results to technical and non‑technical stakeholders.

• Experience with subsea, offshore, inspection, intervention, mobile robotics, remote operations, or other safety‑and‑reliability‑critical systems is an advantage.

  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.

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 worlds 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, material handling, aerospace, science, and renewable energy industries.

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.