Software Engineer Lead - Data and Automation Machine Learning Operations - (Python, PySpark, Pandas, Hadoop, SQL, MLOps, GenAI, Cloud (AWS, Azure), Helm)

About this kind of role

What a Software Engineer Lead - Data and Automation Machine Learning Operations - (Python, PySpark, Pandas, Hadoop, SQL, MLOps, GenAI, Cloud (AWS, Azure), Helm) usually does. The employer's own details are in the listing.

Typically does: Leads a team of engineers focused on building and maintaining data pipelines, automation tools, and machine learning operations infrastructure. This role involves designing, developing, and deploying scalable solutions for data processing, model training, and model serving. Responsibilities often include mentoring junior engineers, defining technical roadmaps, and ensuring the reliability and performance of data and machine learning systems. Collaboration with data scientists and other stakeholders is essential to translate business needs into technical solutions.

Tools and skills: Proficiency in Python, Pyspark, Pandas, Hadoop, SQL, and experience with MLOps principles, Generative AI, and cloud platforms like AWS or Azure, along with container orchestration tools such as Helm, are generally required.

Good fit for: Individuals with strong leadership skills, a solid background in software engineering, and a passion for data and machine learning are typically successful in this role.