AI Engineer

Duties and Responsibilities

• Lead efforts to leverage existing AI models and frameworks to solve complex business challenges.
• Conduct the full cycle of data modeling and algorithm development, including modeling, training, tuning, validating, deploying, and maintaining services, (AI breadth).
• Strong domain expertise in the AI area including LLM. cComputer vVision, Time Series, RAG, fine-tune large models, traditional ML models, etc. (AI depth)
• Stay current with industry trends and advancements in data science and AI technologies. (State-of-the-Art)
• Perform data analysis and offer insights to inform business decisions across multiple domains.
• Adhere to data privacy and security protocols to uphold the confidentiality of sensitive information.
• Collaborate with cross-functional teams to understand requirements and translate them into effective AI and data science solutions.
• Document and communicate technical designs, processes, and best practices to stakeholders using visualizations and presentations.
• Take charge of projects, ensuring timely completion in a dynamic work environment.

Qualifications and Experience

• Master’s or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or a related field preferred. Bachelor's degree required.
• Strong programming skills in languages such as Python, Java, or C++, with hands-on experience in relevant frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• In-depth knowledge and understanding of current machine learning algorithms, AI technologies, and platforms.
• Experience with data engineering/processing frameworks (e.g., Databricks, Spark, Dataflow) and proficiency in SQL.
• Solid experience in data preprocessing, feature engineering, and model evaluation techniques.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
• Strong knowledge of software development best practices, version control systems, and agile methodologies.
• Results-driven with a positive can-do attitude and excellent problem-solving skills.
• Exceptional verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams.
• Experience in the automotive industry is highly desirable.