Career Opportunities
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We are Hiring
Data Scientist Computer Vision
Senior and Trainees (all levels)
Role Description
This is a full-time hybrid role for a Data Scientist at Cogniforge Sdn Bhd. As a Data Scientist, you will be responsible for building models and PoCs, performing statistical analysis, creating data visualizations, and applying data analytics techniques. This role will be based in WP Kuala Lumpur, with flexibility for some remote work. This is a unique opportunity to work on a cutting edge end products like smart devices, smart home, IoT based solutions with embedded AI solutions.
Design accurate and scalable Computer vision algorithms on the edge in an IoT environment. There will be some overlap with work on LLMs and Transformer models.
Collaborate with HW engineering/IoT team to bring analytical prototypes to production
Experience & Qualifications Required
At least 1 - 2 years' of experience in Computer vision (DL) model building prefereably deployed on the edge.
Deep understanding of computer vision models like GAN, Yolo, Mediapipe, Resnets.
Fluency in a programming language (Python, C, C++, databases)
Familiarity in deploying on edge devices like Jetson, RPI, Arduino, Coral or custom AI SoM
Familiarity with cloud platforms (AWS, Azure, GCP etc)
Some familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
Machine learning Engineer
Role Description
This is a full-time hybrid role for a Data Scientist at Cogniforge Sdn Bhd. As a Data Scientist, you will be responsible for building models and PoCs, performing statistical analysis, creating data visualizations, and applying data analytics techniques. This role will be based in WP Kuala Lumpur, with flexibility for some remote work.
Developing Computer vision algorithms on the edge in an IoT environment
Running machine learning tests and experiments
Implement and deploy appropriate ML algorithms on the edge and cloud in collaboration with data scientist, HW engineering/IoT team to bring analytical prototypes to production
Create continuous delivery and MLOPs automation pipelines in machine learning
Experience & Qualifications Required
At least 1 - 2 years' of experience in Computer vision (DL) model deployment on the edge and cloud.
Experience in building and deployment of computer vision models like GAN, Yolo, Mediapipe, Resnets.
Fluency in a programming language (Python, C, C++, databases)
Working knowledge with cloud platforms (AWS, Azure, GCP etc)
Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
IoT / Hardware Engineer
Role Description
This is a full-time hybrid role for a Data Scientist at Cogniforge Sdn Bhd. As a Data Scientist, you will be responsible for building models and PoCs, performing statistical analysis, creating data visualizations, and applying data analytics techniques. This role will be based in WP Kuala Lumpur, with flexibility for some remote work.
Provide production support;
Help drive the technical design, ongoing configuration, testing, and maintenance of IOT applications (new deployments and enhancements)
Serve as the subject matter expert for IoT platforms
Create support documentation (design documents, training materials, job aids, etc.).
Experience & Qualifications Required
Prior experience working in operations related field, eg, Industrial Engineering or Manufacturing;
Knowledge of sensors/IoT connectivity, IoT platforms, data acquisition and Data Historians;
1+ years of experience in developing IoT solutions;
Experience with Live Site monitoring and operating in DevOps environment;
Contact us
Feel free to contact us with any questions or concerns. You can use the form on our website or email us directly. We appreciate your interest and look forward to hearing from you.