Senior Machine Learning Engineer

We’re looking for a Lead Machine Learner to join our dynamic team.Monthly Salary: $8,000.00Responsibilities: - Manage and lead ML in house teams projects like external labellers and outsourcing of R&D. - Demonstrate expertise in building Computer Vision projects from scratch, focusing on real-time processing rather than relying solely on off-the-shelf models. - Design and develop efficient code for preprocessing and storing image-based datasets using custom-built ANN architectures. - Utilize your skills to translate literature into practical, real-world products. - Demonstrate a strong ability to read and implement cutting-edge deep learning models from research papers related to body pose movement, face detection, basic emotions detection, gender and age detection, and face recognition. - Build a robust framework to seamlessly apply these models to live video camera feeds. - Develop and streamline model training and deployment processes, focusing on automation and efficiency. - Optimize deep neural networks and associated preprocessing/postprocessing code to ensure smooth operation on servers, edge devices, and specific hardware. - Utilize your project management skills to guide the ML team towards achieving goals and delivering successful outcomes. - Foster a collaborative and innovative environment, promoting knowledge sharing and continuous learning. -

Requirements: - Demonstrable experience in real-time video processing models. - Published or worked on research on real-time video or signal processing problems. - A minimum of 6 years and desirably 8 or more years in computer vision. - Proven experience using data science tools, including proficient Python scripting, numpy, scipy, matplotlib, scikit-learn, jupyter notebooks, bash scripting, and working in a Linux environment. - Demonstrated ability to manage a team of at least 5 engineers, ensuring effective collaboration and successful project outcomes. - Experience working with custom hardware platforms such as Jetson/ARM. - Proficiency in deploying and delivering highly optimized inference models at a production level. - Strong programming skills in Python3, Bash, Git, and experience with popular deep learning frameworks such as PyTorch or TensorFlow. - Solid knowledge of libraries and frameworks like Numpy, OpenCV, CUDA, and TensorRT. - Familiarity with C/C++ programming languages for optimizing performance. - Previous experience working in teams following SCRUM/Kanban methodologies. - Excellent communication skills in English, enabling effective collaboration and reporting. - LATAM residents. - Advanced English. - Open to relocating to Tulsa after 3-6 months.

Preferred: - Desirable experience with Inference servers like Nvidia Triton, KubeML, and other pipeline frameworks. - Desirable exposure to scientific papers, demonstrating an ability to stay informed about the latest advancements in the field. - Experience working with Google Cloud Platform or Azure services, particularly storage services and on-demand virtual machines. - Proficiency in using Make and Makefiles to create targets and streamline build processes. - Familiarity with CI/CD (Continuous Integration/Continuous Deployment) tools such as GitLab Jobs, GitHub Actions, and Travis, to automate software testing and deployment workflows. - Expertise in encoding/decoding h265 video feeds and knowledge of codecs and transports like HSL (HTTP Live Streaming). - Strong sense of teamwork and the ability to collaborate effectively with colleagues from diverse backgrounds. - Leadership skills to motivate and empower a team of developers, fostering their growth and improving their capabilities. - Fluent in reading and writing papers associated with the state of the art computer vision and ANN/RNN architectures is desirable. - Mexican citizens for VISA permits.

Hiring Process: - 30-minute screening meeting + 15 minutes English assessment. - 15-minute AI automated Career Questionnaire. - 30-minute account manager interview.