AI/ML Engineer

Company Overview:

The Opportunity:

Key Responsibilities:

• Lead efforts to leverage existing AI models and frameworks to solve complex business challenges.
• Conduct the full data modeling and algorithm development lifecycle (modeling, training, tuning, validating, deploying, maintaining).
• Demonstrate strong domain expertise in various AI areas including LLM, Computer Vision, Time Series, RAG, fine-tuning large models, and traditional ML models.
• Stay current with industry trends and advancements in data science and AI.
• Perform data analysis and provide insights for business decisions.
• Ensure adherence to data privacy and security protocols.
• Collaborate with cross-functional teams to translate requirements into AI/data science solutions.
• Document and communicate technical designs, processes, and best practices.
• Manage projects to ensure timely completion in a dynamic environment.

Requirements:

• Master’s or PhD in Computer Science, Engineering, Mathematics, Applied Sciences, or related field.
• Strong programming skills in Python, Java, or C++, with experience in TensorFlow, PyTorch, or scikit-learn.
• In-depth knowledge of current machine learning algorithms, AI technologies, and platforms.
• Experience with data engineering/processing frameworks (e.g., Databricks, Spark, Dataflow) and SQL proficiency.
• Solid experience in data preprocessing, feature engineering, and model evaluation.
• Familiarity with cloud platforms (AWS, Azure, Google Cloud) and containerization (Docker, Kubernetes) is a plus.
• Strong knowledge of software development best practices, version control systems, and agile methodologies.
• Results-driven with excellent problem-solving, communication (verbal and written), and collaboration skills.
• Experience in the automotive industry is highly desirable