Unlocking Data Potential
5 days ago
As a seasoned AI Solutions Architect, you will drive our data and AI streams with your technical expertise and strategic thinking. You will act as an independent consultant, guiding projects from concept to production.
- Lead the architecture, design, and implementation of highly scalable and reliable data platforms and AI systems.
- 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 our capabilities.
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 like 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 like Python, Scala, or Java.
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