Senior Specialist - NxT AI Computer Vision (CV)

Responsibilities:

• Study, refine, and convert data science prototypes into scalable, enterprise-grade machine learning systems for production.
• Collaborate with senior management on project proposal management, staffing, and other related activities.
• Lead a team by managing task allocation, project exploration, and ensuring successful project delivery.
• Define AI solution architecture at scale based on client requirements, adhering to industry best practices.
• Configure and optimize computer vision models for deployment on edge devices.
• Research, benchmark, and propose emerging edge AI technologies to improve performance, reliability, and cost.
• Define project scope in terms of time, effort, and required team skills, with an understanding of resource loading estimations.
• Serve as a subject matter expert (SME) for project RFPs and RFIs.
• Contribute to multiple project proposals, engage in client meetings, drive conversations, and participate in working groups to address specific challenges or ad-hoc projects.
• Identify and stay updated on emerging technologies and trends relevant to the AI domain.

Requirements:

• Minimum of 8 years of hands-on experience managing and delivering AI/ML/Analytics projects.
• Proficient in Python or R, SQL, and/or NoSQL databases; familiarity with Scala, Java, or C is a plus.
• Expertise in machine learning and deep learning algorithms, particularly in computer vision (e.g., CNNs, GNNs).
• 5-7 years of experience in building computer vision and deep learning-based solutions for edge devices and cloud environments, with experience leading small to mid-sized teams.
• Experience with edge AI technologies such as Nvidia Jetson, Google Coral, or similar.
• Operational experience with machine learning frameworks like Keras, TensorFlow, PyTorch, PyChamp, Kite, and libraries like Scikit-learn.
• Strong verbal and written communication skills, with the ability to present complex mathematical concepts to non-experts.
• Hands-on experience with cloud deployment in AWS, GCP, or Azure (at least one is required).
• Strong problem-solving skills and a keen interest in learning new tools, technologies, and concepts.
• A BSc, MSc, BTech, MCA in Computer Science, Mathematics, Statistics, Economics, or a similar field is required. A PhD in Computer Science, Mathematics, Statistics, Economics, or any science discipline with relevant industry experience is preferred.
• Publications in journals, papers, or white papers will be considered an asset.