Machine Learning Engineer

Job Description

We are seeking a talented Machine Learning Engineer to join our innovative team in Cambridge. In this role, you'll work on exciting AI projects, leveraging cutting-edge technology to develop machine learning models that transform data into actionable insights. You'll be collaborating with a diverse team of professionals, contributing your expertise to create solutions that tackle real-world challenges.

Responsibilities

• Research and evaluate new machine learning techniques and tools.
• Implement AI solutions that effectively address customer needs.
• Work closely with cross-functional teams to align AI projects with business objectives.
• Monitor system performance and iterate on models as needed.
• Lead workshops and knowledge-sharing sessions with team members.
• Assist in project scoping and time estimation for AI initiatives.
• Contribute to the company’s open-source projects when appropriate.

Requirements

Education

• Master's degree in Data Science, AI, or relevant discipline

Experience

• 5+ years of experience in machine learning and AI projects

Technical Skills

• Deep Learning
• Natural Language Processing (NLP)

Soft Skills

• Problem-solving
• Communication

Certifications

• Google Cloud Professional Data Engineer

Languages

• English: Fluent

Advantageous

• Exposure to big data technologies (Hadoop, Spark): Experience with big data tools for processing large datasets.
• Familiarity with data engineering concepts: Understanding of data pipelines and ETL processes.

Benefits

• Generous salary with annual performance-based bonuses
• Full support for health and well-being, including gym membership
• Flexible hours with options for remote work
• Access to continuous learning and professional growth resources

Company Culture

• Continuous Learning: Our team is dedicated to professional growth and continuous education, encouraging skill enhancement.
• Work-Life Balance: We prioritize work-life balance, offering flexible schedules to accommodate personal needs.
• Community Engagement: We encourage employees to participate in community service and outreach programs.