Senior AI Engineer

Overview

Sonatus is a well-funded, fast-paced, and fast-growing company whose technologies and software help automakers build dynamic software-defined vehicles. With two generations of solutions already on the road with a top global OEM, our vehicle and cloud software solutions are at the forefront of the digital transformation of vehicles. We are passionate about putting our customers first and creating products that solve real-world problems.

Responsibilities

• Lead the effort to leverage existing AI models and frameworks to solve business problems across domains.
• Collaborate with cross-functional teams to understand requirements and translate them into AI solutions.
• Fine-tune and optimize existing AI models for specific use cases and applications.
• Explore and experiment with various AI models, libraries, and techniques to find the best approach for solving specific problems.
• When necessary, develop custom solutions using AI techniques such as machine learning, deep learning, natural language processing, and computer vision.
• Work closely with data scientists and software engineers to integrate AI solutions into existing systems and workflows.
• Continuously monitor and evaluate the performance of deployed AI models and make improvements as necessary.
• Document and communicate technical designs, processes, and best practices.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field. Master's or PhD preferred.
• Strong programming skills in languages such as Python, Java, or C++. In-depth knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and other AI technologies.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Proficiency in software development best practices, version control systems, and agile methodologies.
• Excellent problem-solving skills and ability to think critically and analytically.
• Strong communication skills and ability to collaborate effectively with cross-functional teams.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

Desired Skills

• Experience in the Automotive Industry is highly desirable.

Benefits

• Competitive compensation and equity program.
• Health care plan (Medical, Dental & Vision).
• Flexible and Dependent Care Expense program.
• Retirement plan (401k).
• Life Insurance (Basic, Voluntary & AD&D).
• Unlimited paid time off per year.
• Hybrid office work arrangement/flexibility.
• Complimentary lunches, snacks, and beverages during on-site working days.
• Wellness benefit allowances (towards gym membership and fitness programs).
• Internet reimbursement.
• Computer Accessory Allowance.
• Departmental team building and outings.
• Employee Referral Program.
• Culture/Employee Satisfaction Surveys.
• Peer Award Program (monthly).
• Innovative Award Program (annual).