Director
Director
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Job Description
Company Overview
Incedo is a US-based consulting data science and technology services firm with over 3000 people helping clients
from our six offices across US Mexico and India. We help our clients achieve competitive advantage through
end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering data science and
design capabilities coupled with deep domain understanding. We combine services and products to maximize
business impact for our clients in telecom Banking Wealth Management product engineering and life science
& healthcare industries.
Working at Incedo will provide you an opportunity to work with industry leading client organizations deep
technology and domain experts and global teams. Incedo University our learning platform provides ample
learning opportunities starting with a structured onboarding program and carrying throughout various stages of
your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible
career paths allow you to grow into a program manager a technical architect or a domain expert based on your
skills and interests.
Our Mission is to enable our clients to maximize business impact from technology by
- Harnessing the transformational impact of emerging technologies
- Bridging the gap between business and technology
Role Description
1.
AI Product Strategy & Execution
Define and drive the product vision roadmap and execution strategy for AI-powered solutions with a focus on computer vision technologies and real-time AI models.
Own key product KPIs including model accuracy latency adoption rate and computational efficiency for cloud/edge deployments.
Lead the end-to-end product lifecycle from conceptualization and prototyping to large-scale deployment.
Ensure scalability modularity and reusability of AI & Engineering components across different use cases by working closely with Engineering and AI scientist team .
Optimize AI model performance for edge devices low-latency processing and cloud-scale inference.
Establish robust processes for development QA testing and deployments within the team.
2.
Product Engineering for Cloud and Edge deployments
AI Product Engineering & Scalable Architecture
Architect and optimize scalable AI/ML pipelines ensuring low-latency high-availability systems.
Collaborate with AI/ML teams to integrate Computer Vision Deep Learning and Reinforcement Learning models into production systems.
Cloud Engineering & Infrastructure
Design and implement highly scalable distributed cloud infrastructure on Cloud (AWS Azure or GCP)
Implement containerization (Docker Kubernetes) and microservices architecture for AI-driven applications
Edge Deployment & Optimization
AI model deployment on edge devices ensuring efficiency in resource-constrained environments.
3.
AI Solutioning & Technical Problem-Solving
Partner with AI and engineering teams to define train and deploy computer vision models for real-time applications.
Guide experimentation and model fine-tuning to improve object detection tracking segmentation and classification tasks.
Drive decisions on model architectures (CNNs Vision Transformers YOLOReinforcement learning etc.) and deployment strategies for cloud (AWS/GCP/Azure) and edge (NVIDIA Jetson TPUs).
Work with data science teams to ensure high-quality labeled datasets model explainability and model stability.
Optimize AI pipelines for real-time inferencing multi-camera vision processing and computational efficiency.
Balance experimentation and rapid delivery ensuring faster time-to-market for AI innovations.
Technical Skills
Technical Acumen: Strong understanding of computer vision models (CNNs Vision Transformers YOLO TrackNet etc.) data pipelines and AI/ML deployment architectures
Cloud & Edge AI Deployment: Experience in deploying AI models on cloud (AWS/GCP/Azure) and edge (Jetson FPGAs TPUs) environments optimizing for latency and efficiency.
Strategic Thinking & Solutioning: Ability to define AI-driven solutions for complex open-ended problems.
Nice-to-have skills
Stakeholder & CXO Influence: Proven ability to engage and influence senior executives business leaders and technical teams.
Agile Product Development: Experience with JIRA Scrum backlog grooming and iterative development.
Excellent Communication: Ability to articulate technical AI concepts to both technical and non-technical audiences.
Qualifications
Experience in AI Product Management: 13-16 years in product management with a strong track record in AI/ML-powered solutions real-time data products or high-tech innovations.
Company Value
We value diversity at Incedo. We do not discriminate based on race religion color national origin gender sexual orientation age marital status veteran status or disability status.
Required Experience:
Director
Employment Type
Full Time
