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Lead Machine Learning Architect
2 months ago
Position: Lead AI / ML Engineer
Sector: Automotive Software Development / Autonomous Vehicles
Location: Remote, United States
Compensation: $180,000-$270,000 + Bonus & Equity
This role presents a unique opportunity for a skilled AI / ML Engineer to influence the evolution of autonomous vehicles and self-driving technology. The ideal candidate will be a proactive AI engineer, eager to drive software innovations for next-generation software-defined vehicles.
Key Responsibilities:
- Steer projects to implement existing AI models and frameworks to tackle various business challenges across multiple sectors.
- Collaborate with cross-functional teams to gather requirements and convert them into impactful AI-driven solutions.
- Refine and enhance AI models to align with specific use cases and applications, ensuring optimal performance and relevance.
- Investigate and test a range of AI models, libraries, and methodologies to discover the most effective solutions for identified challenges.
- Create tailored AI solutions as necessary, employing advanced techniques such as machine learning, deep learning, natural language processing, and computer vision.
- Work closely with data scientists and software engineers to seamlessly integrate AI solutions into existing systems and workflows.
- Continuously assess the performance of deployed AI models, making necessary adjustments and enhancements to sustain effectiveness.
Qualifications and Experience:
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related discipline; a Master's or PhD is preferred.
- Proficient programming skills in languages such as Python, Java, or C++.
- Comprehensive understanding 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.
- Strong grasp of software development best practices, version control systems, and agile methodologies.
- Exceptional problem-solving skills, complemented by strong critical and analytical thinking abilities.
- Excellent communication skills, enabling effective collaboration with cross-functional teams.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is advantageous.
Preferred Qualifications:
- Experience in the Automotive sector
Storm4 is a specialist GreenTech recruitment firm with clients across Europe, APAC, and North America. To explore open opportunities or career options, please visit our website and follow the Storm4 LinkedIn page for the latest job updates.