Infosys is seeking a Computer Vision Principal Consultant. This position will interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation, Application Architecture definition and Design, Development of AI/ML Models; Play an important role in ensuring the latest features and improvements are deployed on time to the millions of on prem devices through periodic releases ; Be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued.
Required Qualifications:
Candidate must be located within commuting distance of Dallas, TX or willing to relocate. This position may require travel in the US.
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Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education
Min 11 years of overall IT experience
Ability to design and develop AI/ML Models and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP)
Knowledge of Data Preparation, Model Training, testing. deployment and Monitoring
Should handle versioning of Data and Models
Knowledge in tracking model performance, data drift, and concept drift for monitoring which Involves specific ML metrics.
Ability to monitor machine learning models, data pipelines, and feature engineering processes.
Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
Ability to understand tools used by data scientist and experience with software development and test automation
Ability to lead development, optimization and deployment of cutting-edge computer vision models to solve complex computer vision use cases.
Ability to Design and development advanced CV models for tasks such as object detection, image recognition, segmentation and video analytics.
Should have expertise on different object tracking algorithms and track multi objects in multi cameras.
Ability to collaborate with engineering team to integrate model into production system
Ability to Architect end to end pipelines for training, testing and deploying CV models in cloud and edge environments.
Should leverage their expertise in ML, DL, and NVIDIA platforms to deliver scalable and efficient solutions.
Should have experience working on a large-scale implementation with 100+ stream in real time
Preferred Qualifications:
Experience with MLOps Frameworks like MLFlow, experience with Docker and Kubernetes etc.
Experience in developing scalable, GPU accelerated solutions for CV workloads using NVIDIA platforms like NVIDIA jetson, DGX system, Triton inference server.
Fluent in English, good communication skills and ability to work in a team.
The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.