Senior Machine Learning Engineer
Role : Lead AI / ML Engineer
Industry : Autonomous Vehicles / Automotive Software Development
Location : Remote, United States
Salary : $180,000-$270,000 + Bonus & Equity
This is an amazing opportunity for a AI / ML Engineer to help shape the future Autonomous vehicles and self driving! They are seeking a highly motivated AI engineer to join our team and help us accelerate software innovations for next-generation software-defined vehicles.
Key Responsibilities :
Job Responsibilities
- Lead initiatives to apply existing AI models and frameworks to address diverse business challenges across multiple domains.
- Partner with cross-functional teams to gather requirements and translate them into effective AI-driven solutions.
- Fine-tune and optimize AI models to meet specific use cases and applications, ensuring high performance and relevance.
- Explore and experiment with a variety of AI models, libraries, and techniques to identify the most effective solutions for given problems.
- Develop custom AI solutions as needed, utilizing advanced techniques such as machine learning, deep learning, natural language processing, and computer vision.
- Collaborate closely with data scientists and software engineers to integrate AI solutions seamlessly into existing systems and workflows.
- Continuously monitor the performance of deployed AI models, making necessary adjustments and improvements to maintain effectiveness.
Qualifications and Experience
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; a Master's or PhD is preferred.
- Strong programming expertise in languages like Python, Java, or C++.
- Extensive 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.
- Exceptional problem-solving abilities, with strong critical and analytical thinking skills.
- Excellent communication skills, with the 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 advantageous.
Preferred Qualifications :
Experience working in the Automotive industry
Sounds like you? Please click on the Easy Apply’ button. You can also send your resume directly to [email protected] or message me directly!
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