Data and Machine Learning Intern

Job description

**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.**