
Senior Data and AI Innovator
18 hours ago
We are seeking a highly skilled and experienced data and AI architect to drive the development of our organization's data and AI streams. The ideal candidate will have a proven track record of designing, developing, and deploying robust, scalable, and real-world AI systems.
Responsibilities:
- Lead the architecture, design, and implementation of highly scalable and reliable data platforms and AI systems. This includes building foundational data pipelines, data lakes, and real-time data streams.
- Drive the end-to-end lifecycle of machine learning models, from experimentation and feature engineering to deployment, monitoring, and maintenance in a production environment (MLOps).
- Act as a technical lead, mentoring junior engineers, setting best practices, and performing code reviews to ensure high-quality and efficient code.
- Work directly with cross-functional 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.
- Hands-on experience in AI/ML and data engineering.
- Proven experience designing and implementing scalable AI systems in a production environment, including a deep understanding of MLOps principles and tools.
- 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.
This is an exciting opportunity for a skilled data and AI architect to join our team and contribute to the development of cutting-edge AI systems.
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