Data and Machine Learning Intern

Duration: Six months Format: Full time (40 hrs/week), paid In the last year at Loka, our teams launched almost 200 GenAI projects for companies of all kinds, including the world’s Number 1 GenAI reading tutor, a startup that transforms homes into batteries and a leading cancer-fighting laboratory. And we did it all while enjoying every other Friday off 😎 As a Data - Machine Learning Intern, you'll gain professional experience supporting Loka’s certified specialists, technical experts and PhDs while elevating your skillset, building a portfolio and launching projects you’re proud of. The Role • Assist in designing, developing and maintaining data pipelines to ensure clean, reliable and timely data. • Collaborate with the team to implement and optimize ETL processes. • Integrate data from various sources into warehouses, data lakes and lakehouses. • Support data management tasks, including data cleaning, validation and transformation. • Understand business objectives and develop models that help achieve them, plus metrics to track their progress. • Implement ML systems using classical ML, DL and Foundation Models following best practices. • Participate in client communications by helping gather requirements and communicate deliverables. • Explore and visualize data with a careful eye for issues that require data cleaning as well as differences in data distribution that may affect performance after deployment. • Identify and analyze model errors. Required Hard Skills • Last year of a bachelor’s degree in Computer Science or related • Proficient in English • Basic knowledge of Python, ML, and Data libraries • Basic knowledge of Databases • Understanding of statistical, ML and deep learning algorithms • Experience visualizing and manipulating big datasets • Problem solving • Bonus: AWS knowledge, (Py)Spark, Airflow, Data Lakes and Data Warehouses Required Soft Skills • Curiosity: You’re ambitious to learn and grow in different industries utilizing a modern tech stack. • Autonomy and positivity: We’re a fully remote, globally distributed team. • Teamwork: Enjoy a collaborative approach. • Adaptability: Operate with a startup mindset and move at a startup pace. • Dependable: You can be trusted to deliver high-quality work. Benefits • Every other Friday off • Health Bonus • Remote and flexible • Paid sick days and local holidays Please submit your CV in English.