Data Scientist II

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 13 days ago

Vacancies: 1 Vacancy

Job Summary

Who we are:

Motive empowers the people who run physical operations with tools to make their work safer more productive and more profitable. For the first time ever safety operations and finance teams can manage their drivers vehicles equipment and fleet related spend in a single system. Combined with industry leading AI the Motive platform gives you complete visibility and control and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100000 customers from Fortune 500 enterprises to small businesses across a wide range of industries including transportation and logistics construction energy field service manufacturing agriculture food and beverage retail and the public sector.

Visit to learn more.

About the Role

We are looking for an Applied Scientist to help develop and deploy cutting-edge machine learning and deep learning models that power Motives safety and fleet management solutions. You will work on LLMs forecasting and multimodal deep learning models driving innovation in areas like collision detection driver safety scoring spend management and fleet optimization. This role sits at the intersection of science and engineering requiring you to push the boundaries of AI while ensuring models are robust scalable and production-ready.

As a key contributor to our Applied Science team youll work with massive datasets (petabyte-scale) including geospatial telematics and sensor data to build models that enhance decision-making across thousands of fleets. Youll collaborate with engineers product managers and domain experts to develop novel ML algorithms optimize inference performance and deploy models in real-world applications that impact millions of drivers and businesses.

Responsibilities

Develop train and optimize deep learning models for safety compliance and fleet operations including LLMs transformer models and multimodal AI.
Design and implement ML pipelines for large-scale data processing including feature engineering model training and real-time inference.
Work with vision telematics and sensor data (dashcam GPS IMU accelerometers) to improve event detection models (e.g. collision detection risky driving behavior)
Fine-tune and distill large models (LLMs Vision Transformers etc.) to optimize latency and deployment efficiency on edge devices and cloud infrastructure.
Collaborate with engineering teams to deploy models into production ensuring robustness interpretability and real-time performance.
Conduct A/B testing and causal inference studies to evaluate the impact of AI-driven decisions.
Stay up to date with the latest research in deep learning generative AI and optimization methods bringing innovations into production.

Basic Qualifications

Bachelors or Masters degree in a quantitative field (CS AI Math Statistics or related).
4 years of experience in deep learning machine learning or applied AI.
Proficiency in Python (TensorFlow PyTorch NumPy Pandas).
Strong experience in SQL and handling large-scale datasets.
Knowledge of transformer models LLMs and multimodal AI.
Experience with ML model deployment on cloud platforms (AWS GCP Azure).
Understanding of probability statistics and optimization techniques.
Ability to translate business problems into scientific solutions and communicate technical findings to stakeholders.

Preferred Qualifications (Nice-to-Have)

PhD in ML AI or related field.
Experience working with telematics geospatial data or sensor fusion.
Experience with PySpark Ray or distributed computing.
Expertise in ML Ops (Docker Kubernetes TensorRT ONNX).
Research experience in reinforcement learning generative models or self-supervised learning.

Creating a diverse and inclusive workplace is one of Motives core values. We are an equal opportunity employer and welcome people of different backgrounds experiences abilities and perspectives.

Please review our Candidate Privacy Noticehere .

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations.It is Motives policy to require that employees be authorized to receive access to Motive products and technology.

#LI-Remote

Who we are:Motive empowers the people who run physical operations with tools to make their work safer more productive and more profitable. For the first time ever safety operations and finance teams can manage their drivers vehicles equipment and fleet related spend in a single system. Combined with...