MACHINE LEARNING

Role: Machine Learning Engineer

Location: Remote Duration: Fulltime with the client

Team Structure

Teams: Data engineers, data scientists, MLOps engineers (all split up) New Role: With CVML team (2 engineers, both US employees reporting to Tarik in the UK) Focus: Incremental improvements to existing models, continuous training operations (different from research engineers) Tasks: Data exploration from the field, model development, deploying models Remote Work: Open to remote in Eastern Time for exceptional candidates Technical Requirements

Languages: Python and C++ Experience: Edge ML hardware and training models on the cloud (6 months on edge ML, 2+ years in the industry) Relevant modules or experience during university degree Skills: Able to be mentored but not to mentor others Not looking for genAI/NLP experience Project Details

Description:

As a Machine Learning Engineer in the AI squad, reporting to the Director of AI Engineering, you’ll focus on developing AI-driven solutions to combat vehicle and content theft. This role is critical for driving innovation in our security technologies, helping to safeguard assets and push the boundaries of what’s possible in the field. If you’re passionate about solving real-world challenges with cutting-edge solutions, this is the opportunity for you.

Responsibilities

Use machine learning techniques to train, debug, and evaluate models for customer deliveries ranging from quick prototypes to full production-level models. Perform exploratory data analysis on the large sensory datasets (image, audio, radar) we have gathered, to develop greater understanding of the problem domain. Define and improve best practices of ML systems development, testing and evaluation. Work closely with data collection teams, Data and MLOps engineers, and Quality Assurance to improve the quality of our datasets and pipelines. Work with product managers to help integrate the machine learning solutions and deliver on the desired user experience.

Requirements

3+ years’ experience and knowledge of applying machine learning or statistical techniques to solve real-world problems, ideally within the computer vision or audio domain (e.g., presence detection, speech processing, etc.). Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field Strong experience using Python and common data and machine learning-related libraries, such as Keras/TensorFlow or Pytorch, numpy, scipy, Pandas, etc. Proficient experience with C++ and running optimised machine learning-based applications on edge hardware. Proficiency using the command line including shell scripting, ideally in a Unix-based environment (e.g. Linux, macOS). Knowledge of basic signal processing techniques.

Preferred Qualifications

Experience in deploying models to edge hardware, including experience with PyTorch and ONNX and model compression techniques, e.g. quantisation and pruning. Reside within the Detroit area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed. Experience using cloud computing platforms, e.g., AWS or GCP desired.

Benefits

Comprehensive medical benefits coverage, dental plans and vision coverage. Health care and dependent care spending accounts. Employee and Family Assistance Program (EAP). Employee discount programs. Retirement plan with a generous company match. Generous Paid Time Off, Sick, and Holidays Family Leave (Maternity, Paternity) Short- and long-term disability. Life insurance and accidental death & dismemberment insurance.

Thanks & Regards, Ramyasree US IT RECRUITER Thought wave Software and Solutions 314 N. Lake St, Suite 6, Aurora IL 60506 Desk: 6302164696 Email:ramyasree@thoughtwavesoft.com LinkedIn: https://www.linkedin.com/in/ramya-sree-kolla-519839221/

A Certified Minority Business Enterprise, Disadvantaged Business Enterprise, SAM.gov, SOC2 & ISO2005, Vendors for: · STATES: IL, PA, TN, AK, OR, CT, GA, VA, ID, IA, UT, FL, MN & CO, · NATIONAL LABS: ARGONNE & FERMI, · COUNTIES: HENNEPIN, MN, FULTON & GA, · PUBLIC SCHOOLS: ATLANTA.