
Chief Data Innovation Officer
16 hours ago
We are seeking a seasoned expert to spearhead our data-driven initiatives.
The ideal candidate is a technical professional with strategic thinking skills, capable of guiding projects from concept to production.
Main Responsibilities:
- Develop and implement highly scalable and reliable data platforms and AI systems, including foundational data pipelines, data lakes, and real-time data streams.
- Oversee the end-to-end lifecycle of machine learning models, from experimentation and feature engineering to deployment, monitoring, and maintenance in a production environment (MLOps).
- Mentor junior engineers, set best practices, and perform code reviews to ensure high-quality and efficient code.
- Collaborate with technical teams to understand requirements and translate them into a clear technical vision and roadmap.
- Stay current with the latest advancements in AI, LLMs, machine learning, and data engineering to introduce new technologies and methodologies that improve capabilities.
- Partner with cross-functional teams to deliver integrated solutions.
Requirements:
- Hands-on experience in AI/ML and data engineering.
- Proven experience 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, and 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 is a significant plus.
- Expert-level proficiency in at least one key programming language, such as Python, Scala, or Java.
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