Machine Learning Engineer

Job Description

We are seeking a forward-thinking Machine Learning Engineer to join our talented team in Cambridge. The ideal candidate will possess expertise in developing and implementing machine learning models that enhance our AI capabilities. You will collaborate with data scientists and software engineers to deliver intelligent solutions that meet client needs.

Responsibilities

• Create and enhance machine learning systems for data analysis.
• Collaborate with cross-functional teams to build scalable solutions.
• Monitor and evaluate the performance of existing models.
• Develop predictive models and machine learning algorithms.
• Transform complex data into actionable insights for business strategy.
• Provide technical guidance and expertise in AI to project teams.
• Contribute to R&D initiatives to advance our AI strategies.
• Foster a culture of best practices in machine learning within the team.

Requirements

Education

• Bachelor's degree in Computer Science, Mathematics, or related field
• Master's degree in a relevant field preferred

Experience

• 3-5 years of experience in machine learning or data science

Technical Skills

• Python
• TensorFlow
• Machine Learning Algorithms
• Data Analysis
• Cloud Platforms (AWS, GCP)

Soft Skills

• Analytical Thinking
• Communication
• Problem-solving

Languages

• English: Fluent

Advantageous

• Experience with ML frameworks (Keras, Scikit-learn): Familiarity with popular ML libraries for model building and evaluation.
• Knowledge of SQL and NoSQL databases: Ability to work with various database technologies for data storage.
• Experience in Natural Language Processing (NLP): Hands-on experience with NLP techniques and tools.

Benefits

• Competitive salary and performance bonuses
• Health and wellness benefits package
• Flexible working hours
• Opportunities for professional development

Company Culture

• Innovation: We encourage innovation and creativity, empowering our engineers to push boundaries.
• Collaboration: Our team thrives on collaboration, with open lines of communication across all levels.
• Continuous Learning: We support continuous learning and provide resources for professional development.