AI Engineer

Motive Agency; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Motive is seeking an AI Engineer to work across the full stack: training and evaluating models, then deploying them in production. You’ll partner with platform, product, and firmware teams to ship your work.

You will own the work end to end, improving models, building data pipelines, and tracing issues in real-world deployments.

Qualifications

• Proficient in Python and PyTorch.
• Experience with model deployment in production.
• Strong understanding of deep-learning fundamentals.
• Ability to design robust data, training, and evaluation pipelines.

Responsibilities

• Research and develop ML models for perception across real-world signals.
• Build production-ready pipelines and deployment tooling.
• Collaborate with platform, product and firmware teams.
• Study model behavior and failure modes in production.
• Validate new capabilities in real-time or resource-constrained systems.
• Own end-to-end from model development to on-device and cloud integration.

Skills

Python

PyTorch

C++

Go

Tools

SNPE

TensorRT

TFLite

ONNX Runtime

Job description

Job Description

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 100,000 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 gomotive.com to learn more.

About the Team

Motives AI team builds the models and systems that let us see and understand whats happening on the road and in the field, across cameras, sensors, and millions of hours of fleet data. Our work spans model development, on-device deployment, and the cloud infrastructure that turns raw signals into products drivers and safety teams rely on every day.

About the Role

We’re looking for an AI Engineer to work across the full stack: training and evaluating models, then getting them running in the real world and building the systems around them. Youll partner closely with platform, product, and firmware teams to ship your work.

Youll own the work end to end. You might spend one day improving a model, another building the pipeline that feeds it, and another in production tracking down why somethings off.

In this role, you will:

• Research and develop machine learning models for perception and understanding problems across visual, audio, and other real-world signals.


• Explore how specialized models and larger general-purpose models can work together in production systems.


• Design data, training, and evaluation approaches that hold up under real-world conditions, not just in a notebook.


• Study model behavior, robustness, and failure modes across data, deployment, and operating conditions.


• Integrate and validate new capabilities in real-time or resource-constrained systems.


• Work with firmware, platform, and product teams to turn research into working systems.

You might thrive in this role if you:

• Understand deep-learning fundamentals: architectures, training dynamics, evaluation design, and data quality and annotation.


• Think in systems: latency and memory budgets, failure modes, distributed pipelines, and on-device constraints.


• Take end-to-end ownership across the model, edge, and cloud boundaries, and stay comfortable with ambiguity along the way.


• Thrive in fast-paced environments and can rapidly iterate from experimentation to production.


• Have hands‑on experience using agentic development tools and AI‑assisted coding as a core part of how you build and ship, not as a side experiment.


• Are proficient in Python and PyTorch, with working ability in at least one systems language (e.g., C++ or Go).

Strong candidates may also have:

• Experience building LLM or agent‑based applications including tool use, retrieval over domain data, and evaluating non‑deterministic systems.


• Experience with on‑device or embedded ML (SNPE, TensorRT, TFLite, ONNX Runtime, or similar).


• Experience with video understanding, VLM/embedding models, or large‑scale retrieval.


• Experience working with large‑scale video or telemetry data, including annotation pipelines and observability tooling (e.g., Snowflake, Redash).


• Experience with distributed training or experimentation frameworks (e.g., Ray/Anyscale) and building rigorous evaluation harnesses.

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 Notice here.

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.

Regarding US-based roles, depending on your role and primary work location, Motive Technologies, Inc. (“Employer”) discloses candidates may be required to execute a non‑compete covenant with the Employer. This requirement does not apply to lawyers, interns, or employees working in CA, MN, MT, ND, OK, or where otherwise prohibited by law.

Non‑compete covenant terms in all other jurisdictions will be subject to the applicable statutory requirements, including but not limited to, procedures, industry related prohibitions, or salary and compensation thresholds.

All job postings are for existing vacancies. Please note; some interviews or new‑hire training sessions may be held in person at one of our global offices.