Data and Machine Learning Intern

<p> </p>
<p><strong>Duration:</strong> Six months</p>
<p><strong>Format:</strong> Full time (40 hrs/week), paid<br><br></p>
<p>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 😎</p>
<p>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.<br><br></p>
<p><strong>The Role</strong></p>
<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>
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<p><strong>Required Hard Skills</strong></p>
<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<br><br></li>
</ul>
<p><strong>Required Soft Skills</strong></p>
<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.<br><br></li>
</ul>
<p><strong>Benefits</strong></p>
<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>
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<p><strong>Please submit your CV in English. </strong></p>
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