Solutions Architect / Project Lead (AI/ML)

Role & responsibilities

Job Title / Designation: Solution Architect/Project Manager/Associate Director based on experience & expertise

Business Unit : Embedded Engineering Services (EES)

Industry Experience Range : 8+ years

Job Location : Preferably Pune / Ahmedabad / Bangalore

Shift : General Shift (Mon-Fri)

Job Function, Roles & Responsibilities:

• Lead strategic initiatives and own the practice for Edge AI/ML, data pipelines, and intelligent embedded systems
• Define and build the competency roadmap for machine learning, deep learning, model deployment, and real-time inferencing on edge platforms
• Oversee data creation including data collection, dataset curation, annotation, cleaning, augmentation, and synthetic data generation
• Champion use cases involving sensor fusion, combining data from multiple sources (vision, IMU, radar, audio, etc.) to create robust, efficient, and context-aware edge intelligence solutions
• Drive edge analytics and on-device learning across verticals such as Industrial Automation, Medical Devices, Automotive, and Smart Consumer Electronics
• Collaborate with global customers to gather requirements, architect solutions, track project delivery, and ensure alignment with business objectives
• Support business development with presales solutioning, proposal writing, and effort estimation
• Drive internal capability building through mentoring, training, and competency development

Preferred candidate profile:

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Experience:

8+ years in embedded systems, AI/ML, and data engineering, with a strong focus on edge intelligence and real-time systems. At least 3 years in a technical leadership or strategic role. Prior experience in a product engineering services environment preferred.

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Area of Expertise:

• Proven expertise in deploying ML/DL models on edge devices (NVIDIA Jetson, NXP i.MX, Qualcomm QCS, TI Sitara, etc.)
• Strong knowledge of data workflows: dataset generation, manual/automated annotation, data cleaning, augmentation, and synthetic data creation
• Deep understanding of sensor fusion techniques combining inputs from vision, audio, IMU, radar, LIDAR, and other sources to improve model accuracy and efficiency
• Experience in model optimization using TensorRT, ONNX, OpenVINO, TFLite, and TVM
• Hands-on with TensorFlow, PyTorch, scikit-learn, and signal/image processing techniques
• Proficient in designing for real-time inference on resource-constrained platforms
• Exposure to AI accelerators, NPUs, DSPs, and hybrid SoC environments; must have exposure to NVIDIA SoC & Tools
• Presales, account engagement, and solutioning experience with North American or European clients

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Nice to Have:

• Cloud-edge integration using AWS Greengrass, Azure IoT Edge, GCP Edge TPU
• Understanding of AI regulatory/safety standards (ISO, IEC, FDA compliance for AI/ML in regulated industries)

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Educational Criteria:

BE/ME/B.Tech/M.Tech Electronics, Computer Science, AI/ML, Embedded Systems, or Data Science

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Travel:

Flexibility to travel globally with sales or delivery teams for customer meetings, workshops, and project deployments as needed.

Interested and qualified candidate can directly reach Mr. Anup Sharma at 99099-75421 or anup.s@acldigital.com.

(staffing partner can communicate over the email)