
Data and AI Innovator
1 day ago
The ideal candidate is a visionary leader who can guide projects from concept to launch.
Responsibilities:
- Data Engineering Expertise
- Leverage experience in AI/ML and data engineering to design and implement scalable data platforms and AI systems.
- Determine the most effective architecture, design, and implementation of data systems.
- Machine Learning Mastery
- Drive the end-to-end lifecycle of machine learning models, from experimentation to deployment and maintenance.
- Develop and execute strategies for feature engineering, model selection, and deployment optimization.
- Technical Leadership
- Mentor junior engineers and set best practices to ensure high-quality and efficient code.
- Collaborate with cross-functional teams to deliver integrated solutions.
Requirements:
- Hands-on experience in AI/ML and data engineering.
- Proven expertise in designing and implementing scalable AI systems in a production environment.
- Proficiency with modern data platforms and tools such as Databricks, Snowflake, Apache Spark, Flink, Airflow, Kafka.
- Strong command of at least one major ML framework such as TensorFlow or PyTorch.
- Experience with large language models (LLMs) and other generative AI technologies.
- Expert-level proficiency in at least one key programming language such as Python, Scala, or Java.
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