Role and Responsibilities:
The Machine Learning Engineer will play a critical role in designing, deploying, and optimizing machine learning models to enhance our educational platform. This role involves hands-on work with data, model building, and close collaboration with cross-functional teams to create seamless, AI-driven user experiences. You’ll be instrumental in creating systems that scale, deploy, and continuously refine models for personalized learning experiences.

Key Responsibilities:

Data Handling & Model Development:

• Collect, preprocess, and analyze user and transactional data to uncover insights that guide model development.

• Design, build, and fine-tune machine learning models that deliver personalized learning experiences and improve user engagement.

• Conduct feature engineering, model selection, and hyperparameter tuning to optimize performance.

Deployment & Integration:

• Work closely with the engineering team to implement machine learning models in production, ensuring scalability and efficiency.

• Develop robust pipelines for automated model deployment, monitoring, and retraining.

• Integrate models with backend services and optimize for real-time applications within our platform.

Evaluation & Optimization:

• Continuously monitor, evaluate, and refine model performance using A/B testing, feedback loops, and other performance metrics.

• Implement model tracking and management systems to streamline version control, retraining, and updates.

• Troubleshoot and resolve production issues to ensure minimal disruption to users.

Research & Innovation:

• Stay current with the latest advancements in machine learning and AI, especially as they pertain to the EdTech industry.

• Experiment with and propose new algorithms or technologies to enhance user engagement and learning outcomes.

• Contribute to the development of machine learning frameworks and best practices within the organization.

Documentation & Communication:

• Document data pipelines, model architectures, and key processes to ensure reproducibility and transparency.

• Generate reports and provide insights to stakeholders across Product, Content, and Engineering teams.

• Communicate complex technical concepts in an accessible manner to cross-functional teams.

Qualifications:

• Education: Master’s degree or higher in Computer Science, Data Science, Machine Learning, or a related field.

• Experience: At least 3 years of hands-on experience in building, deploying, and maintaining machine learning models.

• Technical Proficiency: Strong experience in Python and machine learning libraries (e.g., TensorFlow, PyTorch, Keras, Scikit-learn).

• Data Skills: Proficiency in data preprocessing, feature engineering, and experience with big data technologies (e.g., Spark, Hadoop).

• Deployment Experience: Demonstrated experience deploying machine learning models in production environments, with a focus on cloud platforms such as AWS, Azure, or GCP.

• Problem-Solving: Excellent analytical and problem-solving abilities, with a track record of tackling complex data challenges.

• Communication: Strong written and verbal communication skills in English.

Nice-to-have Qualifications:

• Ed-Tech Experience: Knowledge of the EdTech industry or familiarity with educational pedagogies and curriculum development.

• MLOps Proficiency: Experience with MLOps tools and practices for model deployment, monitoring, and lifecycle management.

• Multilingual: Proficiency in one or more European languages besides English.

• Soft Skills: Adaptable to the fast-paced, dynamic environment of a start-up, with a collaborative spirit and a passion for innovation.

Why Join evulpo?

• Impactful Work: Be part of an EdTech pioneer reshaping the future of education.

• Collaborative Culture: Join a team that values inclusivity, diverse perspectives, and creative thinking.

• Growth Opportunities: Develop your skills and expand your expertise in a supportive environment.

• Comprehensive Benefits: We offer a competitive compensation package and a range of benefits.

If you’re ready to take on the challenge of using machine learning to revolutionize education, we encourage you to apply. Share your resume and a cover letter detailing your experience and your enthusiasm for our mission. Join us in building the future of data-driven learning.