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, youll 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 <ul> <li>Assist in designing, developing and maintaining data pipelines to ensure clean, reliable and timely data.</li> <li>Collaborate with the team to implement and optimize ETL processes.</li> <li>Integrate data from various sources into warehouses, data lakes and lakehouses.</li> <li>Support data management tasks, including data cleaning, validation and transformation.</li> <li>Understand business objectives and develop models that help achieve them, plus metrics to track their progress.</li> <li>Implement ML systems using classical ML, DL and Foundation Models following best practices.</li> <li>Participate in client communications by helping gather requirements and communicate deliverables.</li> <li>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.</li> <li>Identify and analyze model errors.</li> </ul>   Required Hard Skills <ul> <li>Last year of a bachelor’s degree in Computer Science or related</li> <li>Proficient in English</li> <li>Basic knowledge of Python, ML, and Data libraries</li> <li>Basic knowledge of Databases</li> <li>Understanding of statistical, ML and deep learning algorithms</li> <li>Experience visualizing and manipulating big datasets</li> <li>Problem solving</li> <li>Bonus: AWS knowledge, (Py)Spark, Airflow, Data Lakes and Data Warehouses </li> </ul> Required Soft Skills <ul> <li>Curiosity: You’re ambitious to learn and grow in different industries utilizing a modern tech stack.</li> <li>Autonomy and positivity: We’re a fully remote, globally distributed team.</li> <li>Teamwork: Enjoy a collaborative approach.</li> <li>Adaptability: Operate with a startup mindset and move at a startup pace.</li> <li>Dependable: You can be trusted to deliver high-quality work. </li> </ul> Benefits <ul> <li>Every other Friday off</li> <li>Health Bonus</li> <li>Remote and flexible</li> <li>Paid sick days and local holidays</li> </ul>   Please submit your CV in English.