Senior Machine Learning Engineer

About the Role: As a Machine Learning Engineer at MotorK, you'll be at the center of how data becomes product. You'll architect, train, and deploy machine learning systems that power predictive maintenance, automated classification, and next-gen marketing experiences for the automotive world. You'll shape strategy, own systems end-to-end, and see your work ship fast. If you're obsessed with performance, experimentation, and building things that matter, you'll feel right at home here. What You'll Do: • Design, develop, and deploy machine learning models using Python, TensorFlow, or PyTorch. • Collaborate with cross-functional teams to integrate machine learning solutions into MotorK's products. • Develop and maintain a deep understanding of the data and its relationships to inform model development. • Work closely with data scientists to develop and refine predictive models. • Ensure high-quality, scalable, and reliable machine learning systems that meet business requirements. • Stay up-to-date with industry trends, advancements, and best practices in machine learning. What You'll Need: • 5+ years of experience as a Machine Learning Engineer or similar role. • Strong understanding of machine learning concepts, including supervised and unsupervised learning, regression, classification, clustering, etc. • Proficiency in Python programming language and at least one machine learning library (e.g., TensorFlow, PyTorch). • Experience with data preprocessing, feature engineering, and model evaluation techniques. • Strong analytical and problem-solving skills, with the ability to interpret results and draw meaningful conclusions. • Excellent communication and collaboration skills, with the ability to work effectively across teams. • Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or a related field. What We Offer: • Competitive salary and benefits package. • Opportunity to work on cutting-edge machine learning projects that shape the automotive industry. • Collaborative and dynamic work environment with a team of talented engineers and data scientists. • Professional development opportunities, including training, mentorship, and conference attendance. • Flexible working hours and remote work options.