AI/ML Data Engineer

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Written by AI from the job title and company, not by Motion Recruitment, so some details may not match this job. The employer's own page has the real description.

Overview

The AI/ML Data Engineer at Motion Recruitment plays a pivotal role in designing, developing, and optimizing data pipelines that support machine learning project initiatives. The successful candidate will collaborate with data scientists, software engineers, and business stakeholders to create robust data architectures and analytics solutions that deliver insights and enhance decision-making processes. This role requires a strong foundation in data engineering principles, as well as expertise in machine learning frameworks and techniques.

Job Responsibilities

• Design and implement scalable data processing systems to handle large datasets efficiently.
• Collaborate with data scientists to understand data needs and develop data extraction methodologies.
• Manage and optimize ETL processes to ensure data quality and accessibility.
• Develop and maintain data models, data flows, and data schemas aligned with business requirements.
• Integrate machine learning models into production systems and ensure their performance and reliability.
• Monitor and troubleshoot data pipeline issues, implementing solutions to enhance performance.
• Document processes, data dictionaries, and system architecture for ongoing quality assurance and regulatory compliance.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven experience as a Data Engineer or similar role in a machine learning context.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with SQL and NoSQL databases (e.g. PostgreSQL, MongoDB).
• Familiarity with data architecture frameworks and cloud platforms (e.g. AWS, Azure).
• Expertise in data warehousing concepts, data lakes, and distributed computing systems.
• Experience with machine learning libraries or frameworks (e.g. TensorFlow, PyTorch, Scikit-learn).
• Strong analytical skills with attention to detail and a problem-solving mindset.

Technologies & Tools

The role of AI/ML Data Engineer will involve working with a variety of technologies and tools to facilitate the development of data processing systems. This includes cloud computing platforms such as AWS or Azure, data storage solutions like PostgreSQL and MongoDB, and machine learning libraries including TensorFlow, PyTorch, and Scikit-learn. Additionally, familiarity with data orchestration tools such as Apache Airflow and data visualization frameworks is a valuable asset.

Ideal Candidates

Ideal candidates for the AI/ML Data Engineer position will possess a curiosity-driven mindset, demonstrating a passion for continuous learning and adaptation to ever-evolving technologies. They should exhibit strong collaboration and communication skills to effectively work within multifaceted teams. Additionally, successful candidates will be proactive in identifying areas for improvement, displaying both creativity and analytical thinking when tackling complex data challenges.