ROLE SUMMARY

The client's Mobility team is responsible for building and managing our connected vehicle platforms, supporting product research using vehicle sensor data, and creating new and exciting data services for client-customers that make driving safer, more convenient, and fun. We're looking for a Sr Machine Learning Engineer capable of using machine learning and statistical techniques to create state-of-the-art solutions for non-trivial, and arguably, unsolved problems. If you are results-driven, interested in how to apply advanced machine learning techniques, would love to work with vehicle telemetry data and video, are deeply technical, highly innovative, and long for the opportunity to build solutions for challenging problems that directly impact the company's bottom-line, we want to talk to you.

Responsibilities

• Use statistical and machine learning techniques to create scalable solutions for vehicle telemetry data and video analysis, and perform R&D to drive the discovery of new-generation mobility products
• Establish scalable, efficient, automated processes for large-scale data analysis, model development, model validation and model implementation
• Develop ML models to run in vehicle (Edge)
• Develop and deploy CV models on Edge
• Drive adoption of best practices across organizations
• Deliver production-ready code
• Work with Product Owners to define the KPIs for machine learning projects
• Stay abreast of developments in research methodology and changing technologies in the marketplace and proactively identify applications of these latest developments to improve existing methods
• Prepare and present findings to both technical and non-technical audiences
• Work within the constraints of time, budget, and resources capacities to align with the client's global vision
• Develop and foster collaborative relationships with product, business, and engineering teams to effectively serve our customer needs

Qualifications

• 5+ years of production experience working in Data Science or Software Engineering
• 3+ years of production experience in Deep Learning - Computer Vision
• Solid production experience using Python (including NumPy), C/ C++, Lua and SQL
• experience in embedded systems development and troubleshooting and with real-time operating systems
• Experience with CNNs and other types of neural networks in machine learning, or Robotics, or AI
• Experience in neural network quantization, compression, and algorithm pruning
• Application layer development and optimization of deep learning algorithms in embedded systems
• Experience with C++ development in embedded applications
• Experience with common embedded operating systems and environments such as Linux, etc.
• Solid production experience using TensorFlow and/or PyTorch
• Production experience with Apache Spark
• Experience implementing solutions for video and image segmentation, object detection and tracking, and/or semantic/instance segmentation
• Strong fundamentals in problem solving, algorithm design and complexity analysis
• Experience implementing and orchestrating Machine Learning pipelines in production environments, using tools such as Kubeflow, airflow, Pachyderm, mlflow, etc.
• Hands-on experience with web APIs, containers, Kubernetes, CI/CD and testing
• Experience from working in Agile Scrum environments
• Experience implementing solutions in a cloud environment (AWS, Azure, or Google Cloud)
• Experience using Infrastructure-as-code for cloud infrastructure automation
• Experience working with data science in automotive telematics data and video is a plus
• Experience in edge computing is a plus

Required Skills : - Data Science - Machine learning - C++ - Edge
Basic Qualification :
Additional Skills :
Background Check :Yes
Drug Screen :Yes
Notes :
Selling points for candidate :
Project Verification Info :
Candidate must be your W2 Employee :Yes
Exclusive to Apex :No
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship ::No
Interview times set : :No
Type of project :Other Project Type
Master Job Title :Eng: Other
Branch Code :Dallas