Senior ML Platform Engineer

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Job Overview

As a Senior ML Platform Engineer at Harnham, you will be at the forefront of designing, developing, and enhancing our machine learning infrastructure. Your responsibilities will include collaborating with cross-functional teams to build scalable ML models, optimize data pipelines, and ensure the seamless integration of machine learning solutions into business operations. You will also play a key role in mentoring junior engineers and driving best practices in ML development, ultimately empowering the organization to leverage advanced analytics capabilities effectively.

Job Responsibilities

• Design and implement robust machine learning architectures to support various business applications.
• Develop, test, and maintain scalable data pipelines for processing large datasets.
• Collaborate with data scientists and software engineers to transition ML models from prototyping to production.
• Monitor and optimize the performance of deployed models, ensuring high availability and reliability.
• Conduct code reviews and provide guidance to junior team members on ML best practices and methodologies.
• Research and apply the latest advancements in machine learning technologies and tools.
• Document architectural decisions, processes, and workflows for future reference and team alignment.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• At least 5 years of experience in machine learning, data engineering, or a related role.
• Strong programming skills in languages such as Python, Java, or Scala.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Proficiency in cloud platforms like AWS, Azure, or Google Cloud for deploying ML solutions.
• Solid understanding of data structures, algorithms, and database systems.
• Excellent problem-solving abilities and attention to detail, with a strong commitment to quality.

Technologies & Tools

In this role, you will be leveraging a variety of technologies and tools including Python, TensorFlow, Apache Spark, Docker, Kubernetes, and various distributed computing frameworks. Additionally, experience with version control systems such as Git and continuous integration/continuous deployment (CI/CD) tools will be essential for the effective execution of your work. Familiarity with data visualization tools and ETL processes will further enhance your capability to successfully integrate machine learning solutions.

Ideal Candidates

The ideal candidate for the Senior ML Platform Engineer position at Harnham will possess a strong technical acumen combined with excellent communication skills. You should be a proactive thinker who can navigate complex problems and devise elegant solutions. A passion for innovation, a collaborative spirit, and the ability to mentor others are essential traits that will contribute to the success of our engineering team and the overall mission of the organization.