Job description

About Company:

Metayb is a fast-growing digital transformation company empowering organizations to thrive in the digital-first era. In just three years, we've built a team of 350+ experts focused on creating seamless customer experiences, boosting operational efficiency, and delivering actionable insights. Our core strengths include Digital Transformation, Data Science, SAP Implementation, Workflow Automation, Finance, and Supply Chain Services, with aspirations to expand into IoT, AI/ML, and Virtual Reality. By leveraging emerging technologies, Metayb aims to be a trusted global partner in delivering impactful, future-ready solutions.

Description:

Lead the architecture, development, and optimization of real-time, enterprise-grade manufacturing AI/ML, GenAI & video analytics solutions.
Lead PoCs, prototypes, and pilot projects to validate industrial AI and digital twin use cases.
Collaborate closely with industry partners, internal delivery teams, and stakeholders to co-create next-generation manufacturing solutions.
Possess a strong understanding of manufacturing and process industry challenges, including batch processing, continuous control, quality monitoring, and regulatory compliance.
Design, develop, and deploy predictive and prescriptive ML models using state-of-the-art approaches

Core Technical Requirements:

Strong proficiency in Python with hands-on experience using OpenCV, PyTorch/TensorFlow, and YOLO for computer vision applications.
Proven expertise in multi-object detection and tracking, OCR, and working with RTSP/streaming video pipelines.
Experience optimizing and deploying models using ONNX/TensorRT, and containerizing solutions with Docker.
Ability to build and expose services through REST APIs for scalable model integration.
Demonstrated experience in developing and deploying CV models for object or material detection across large, distributed camera networks
Apply Generative AI (LLMs, multimodal models, RAG) to improve situational awareness, decision-making, and adaptive system responses.
Strong understanding of machine learning algorithms, data preprocessing, and feature engineering.
Experience deploying ML models in production using ML Ops best practices.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is highly desirable.
Design distributed, low-latency data pipelines for high-volume video ingestion and processing.
Integrate advanced deep learning and multimodal AI models, including detection, segmentation, classification, and tracking, into live production workflows.
Perform GPU optimization, parallelization, and performance tuning for large-scale deployments.
Willingness to travel to active job sites as required.

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related discipline
Minimum 4+ years of hands-on experience building and deploying ML/AI models in production environments.

Join Metayb and be a part of a transformative journey, shaping the future of work with innovative solutions and cutting-edge technology.

Disclaimer: The job title mentioned in this description is generic and intended for broad categorization purposes. The final designation will be determined based on the candidate’s performance during the interview process, relevant experience, and alignment with the organizational hierarchy.

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