AI Senior Engineer

TELUS Digital; Bengaluru; Vor Ort; INR 2.500.000 - 3.600.000; Vollzeit

Zusammenfassung

TELUS Digital India is seeking a Senior Robotics ML Engineer to own client engagements from discovery through delivery. You will design perception systems, calibrate sensors, and bridge simulation with real deployment while mentoring engineers and translating research into practical client outcomes.

Proficiency in Python (PyTorch), ROS/ROS2, and LiDAR/camera fusion is essential. Experience with domain randomisation and sim environments is highly valued in a fast‑moving, client‑facing role.

Qualifikationen

• 4+ years in robotics ML, computer vision, or technical solutions engineering.
• Strong CV and perception — detection, segmentation, pose estimation, optical flow.
• Solid 3D geometry — SE(3) transformations, camera models, projection, coordinates.
• Sensor calibration — intrinsic/extrinsic, hand‑eye, multi‑modal alignment.
• LiDAR processing and sensor fusion, including LiDAR–camera calibration.
• Sim-to-real experience — domain randomisation and sim environments (Isaac Sim, MuJoCo, Gazebo, Unity Robotics Hub).
• Strong Python (PyTorch); able to read and implement research papers.
• Prior client‑facing or presales technical experience.
• Clear communicator across technical and non‑technical audiences.

Aufgaben

• Own client engagements end to end — discovery, architecture, build, and delivery.
• Translate real‑world problems into perception/robotics architectures; scope demos/POCs.
• Design and build CV and perception systems (detection, segmentation, pose estimation).
• Own sensor calibration and fusion (intrinsic/extrinsic, hand‑eye, LiDAR–camera).
• Design egocentric data collection pipelines using wearable cameras and depth sensors.
• Bridge simulation and deployment via domain randomisation and sim‑to‑real gap analysis.
• Evaluate and integrate VLA models; fine‑tune large pretrained models within constraints.
• Build services (REST/gRPC, PostgreSQL) to expose model inference and robotics services.
• Mentor engineers and translate research into practical client implications.

Kenntnisse

Robotics ML

Computer vision

SE(3) geometry

Sensor calibration

LiDAR processing

Sim-to-real

Python (PyTorch)

Client-facing

Tools

ROS / ROS2

Docker

PostgreSQL

REST/gRPC

Jobbeschreibung

At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace.

Key Responsibilities

• Own client engagements end to end — technical discovery, solution architecture, hands‑on build, and delivery — acting as the technical authority on feasibility.
• Translate ambiguous real‑world problems into concrete perception and robotics ML architectures; lead demos and proof‑of‑concept scoping.
• Design and build CV and perception systems — detection, segmentation, pose estimation — on the 3D geometry underneath (SE(3), camera models, projection, coordinate frames).
• Own sensor calibration and fusion — intrinsic/extrinsic, hand‑eye, and LiDAR–camera — plus LiDAR processing (registration, ground segmentation, object detection).
• Design egocentric data collection pipelines using wrist/head‑mounted cameras, depth sensors, and IMU for robot learning.
• Bridge simulation and deployment via domain randomisation, sim setup, and sim‑to‑real gap analysis.
• Evaluate, select, and integrate VLA models, and fine‑tune large pretrained models under data and compute constraints.
• Build supporting services — agentic loops, REST/gRPC APIs, and PostgreSQL — to expose model inference and robotics services.
• Mentor engineers, drive principled decisions (diagnose before solving), and translate current research into practical client implications.

Required Qualifications

• 4+ years in robotics ML, computer vision, or technical solutions engineering.
• Strong CV and perception — detection, segmentation, pose estimation, optical flow.
• Solid 3D geometry — SE(3) transformations, camera models, projection, coordinate frames.
• Sensor calibration — intrinsic/extrinsic, hand‑eye, and multi‑modal alignment.
• LiDAR processing and sensor fusion, including LiDAR–camera calibration.
• Sim-to-real experience — domain randomisation and sim environments (Isaac Sim, MuJoCo, Gazebo, or Unity Robotics Hub).
• Conceptual grasp of VLA architectures and the current SOTA landscape.
• Strong Python (PyTorch); able to read and implement research papers.
• Prior client‑facing or presales technical experience.
• Clear communicator across technical and non‑technical audiences.

Preferred Qualifications

• Agentic systems and prompt engineering — tool‑use agents and multi‑step planners.
• API development (REST/gRPC, Docker, basic CI/CD) and PostgreSQL.
• ROS / ROS2 or equivalent robotics middleware.
• C# for Unity‑based simulation and tooling.
• Fine‑tuning large pretrained models under data/compute constraints.
• Edge/onboard optimisation — TensorRT, ONNX, quantisation.
• RL / RLHF, motion planning, kinematics, or URDF.
• Hands‑on with robot hardware (Franka, UR, Unitree, or similar).
• Research orientation — tracks arXiv, forms opinions from first principles.
• Publications, open‑source work, or notable projects in robot learning or Physical AI.

Technical Stack

• Languages: Python (PyTorch)
• Perception / 3D: OpenCV, Open3D, PCL, point cloud processing
• Simulation: Isaac Sim, MuJoCo, Gazebo, Unity Robotics Hub
• Robotics Middleware: ROS / ROS2
• Models: VLA models (RT-2, OpenVLA, π₀, Octo), ViTs, multimodal, hosted and open‑source
• Deployment: REST/gRPC, Docker, PostgreSQL; TensorRT / ONNX for edge
• Core Areas: CV and perception, 3D geometry, calibration, LiDAR, sensor fusion, sim‑to‑real, agentic systems

Success Measures

• Client engagements delivered with clear architecture, working perception/robotics systems, and evaluation coverage.
• Reusable solution patterns and accelerators created from recurring engagement needs.
• Robust calibration, data collection, and sim‑to‑real workflows that transfer reliably to real hardware.
• Sound VLA and model‑selection/fine‑tuning decisions, grounded in the current SOTA landscape.
• Effective mentorship and principled technical guidance across the Technical Solutions team.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Company

TELUS Digital is the customer experience transformation partner to the world's most admired brands. Our diverse team weaves data, technology, and human ingenuity to deliver differentiated customer journeys, drive operational effectiveness, and scale AI solutions with meaningful value and positive impact.

We craft real‑world solutions in the moments that matter, from customer acquisition to lifelong loyalty. Enabled by our global reach - spanning 78,000 experts in 33 countries - and deep industry expertise, we help over 600 organizations make the customer experience feel effortless.

Our solutions span Data & AI, Digital Experience & IT, CX Management and Trust & Safety. At the core of our innovation is Fuel iX™, an enterprise‑grade generative AI platform that helps clients safely access and optimize leading LLMs to scale their own AI from pilot to production.

Equal Opportunity Employer Statement

At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicant's qualifications, merits, competence and performance without regard to any characteristic related to diversity.