This role goes beyond executing on a defined roadmap. You'll identify opportunities, shape solutions end-to-end, and take ownership of outcomes. You connect the dots between stakeholder needs and what's technically feasible, bringing recommendations grounded in both theory and practical constraints. When you hear a narrow question, you think about the broader system it lives in and build toward that.

The core responsibilities of this role are:

• Design and train high-performance computer vision models for automated damage detection, focusing on precision, recall, and model robustness.
• Architect and maintain high-throughput, containerized microservices for model serving using REST/gRPC to ensure low-latency performance.
• Collaborate with business stakeholders to translate complex inspection requirements into scalable, production-grade ML solutions.
• Own the end-to-end model lifecycle, from experimentation and design to deployment and optimization in high-traffic environments.
• Design and maintain robust data pipelines using Kafka to ensure high-fidelity inputs for model serving and inference.
• Perform additional duties as assigned.

Required Qualifications:

• Graduate education (MS or PhD) in a computationally intensive domain or equivalent work experience.
• 3+ years of prior computer vision experience
• Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python/SQL.
• Experience designing and maintaining visual data annotation pipelines and evaluation frameworks for complex, real-world image datasets.
• Experience optimizing high-latency models for real-time inference
• Backend software engineering experience in the cloud (AWS / GCP) with a focus on microservices (docker) and the ML model development lifecycle.
• Experience building and maintaining streaming data pipelines (e.g., Kafka) for real-time model serving.

Preferred Qualifications:

• Knowledge of ML frameworks and libraries, such as Kubeflow, Databricks, KServe and so on
• Experience designing evaluation frameworks for complex visual data

Our Values Trust & Transparency | People First | Positive Experiences | Calm Persistence | Never Settling

At ACV, we are committed to an inclusive culture in which every individual is welcomed and empowered to celebrate their true selves. We achieve this by fostering a work environment of acceptance and understanding that is free from discrimination. ACV is committed to being an equal opportunity employer regardless of sex, race, creed, color, religion, marital status, national origin, age, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires reasonable accommodation, please let us know.

For information on our collection and use of your personal information, please see our Privacy Notice. No immigration or work visa sponsorship provided for this position. Compensation: The compensation range for this position is listed in the "Job Details" section at the bottom of this posting. Please note that final compensation will be determined based upon the applicant's relevant experience, skill set, location, business needs, market demands, and other factors as permitted by law.

Originally posted on Himalayas