Lead Engineer - Data & ML Platform

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Job Overview

The Lead Engineer - Data & ML Platform at Imprint will play a critical role in driving the architecture, design, and implementation of our data and machine learning platforms. This position requires a strategic thinker with a robust engineering background and a passion for data-driven solutions. The successful candidate will lead a team of engineers in building scalable data pipelines and machine learning models, while collaborating closely with product managers, data scientists, and stakeholders to ensure the delivery of high-quality solutions that meet business needs.

Job Responsibilities

• Design and architect robust data and machine learning platforms to support complex business needs.
• Lead and mentor a team of engineers, providing support for technical challenges and fostering an innovative team culture.
• Collaborate with cross-functional teams, including data scientists and product managers, to deliver data-driven solutions.
• Implement best practices for data pipelines, ensuring data quality, security, and scalability.
• Oversee the deployment and continuous integration of machine learning models into production environments.
• Monitor system performance and troubleshoot issues, making improvements as necessary.
• Stay current with industry trends and advancements in data engineering and machine learning technologies.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Minimum of 5 years of experience in data engineering or machine learning engineering roles.
• Proficient in programming languages such as Python, Java, and SQL.
• Extensive experience in designing and implementing data pipelines using tools like Apache Spark, Kafka, or Airflow.
• Strong understanding of machine learning frameworks such as TensorFlow, Scikit-learn, or PyTorch.
• Prior experience with cloud platforms, particularly AWS, Azure, or GCP.
• Excellent communication and collaboration skills with a proven track record of working in cross-functional teams.

Technologies & Tools

The Lead Engineer - Data & ML Platform will utilize a variety of technologies and tools in this role. Key technologies include cloud-based platforms such as AWS and Azure for deployment, data processing tools like Apache Spark and Kafka for pipeline management, and machine learning libraries such as TensorFlow and Scikit-learn for model development. Familiarity with containerization technologies like Docker and orchestration tools such as Kubernetes will also be beneficial for managing scalable applications.

Ideal Candidates

The ideal candidate for this position will possess a strong technical acumen coupled with outstanding leadership qualities. They will be innovative problem-solvers who enjoy working collaboratively in a fast-paced environment. A commitment to continuous learning and adapting to emerging technologies is essential. Strong interpersonal skills and the ability to communicate complex ideas clearly to both technical and non-technical stakeholders will further enhance their effectiveness in this role. Passion for data and eagerness to drive technological advancements within the company are essential traits that will lead to success in this position.