Senior Machine Learning Engineer I

<p><b>When our values align, there's no limit to what we can achieve.</b><br/> <br/>At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.</p><p>Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.</p><p></p><p></p><p><span>Parexel is in the business of improving the world’s health. We do this by providing a suite of biopharmaceutical services that help clients across the globe transform scientific discoveries into new treatments.  We believe in our <span>values,</span><i><b> Patients First, Quality, Respect, Empowerment &amp; Accountability.</b></i></span></p><p></p><p><span>This role will work within our<i><b> </b></i></span><b><i>AI Labs’ </i></b><span>department</span><span> which is an innovative </span><span>team that will build</span><span> and deploy leading AI-driven solutions to improve workflows common across both Parexel and the life sciences industry. </span> <span>The team partner and support the business in building best-in-class AI-driven solutions when nothing suitable exists.</span></p><p></p><p><span>This role is to be based in </span><b><i>Poland </i></b><span>and can be</span><b><i> fully home based .</i></b><span> You will be working in an innovative and collaborative environment with international peers, colleagues and a supportive manager. </span></p><p></p><p><span>As the <i><b>Senior Machine Learning (ML) Engineer I </b></i>you will <span>demonstrate</span><span> mastery of advanced ML techniques and their application in complex, real-world scenarios. You will lead architectural decisions for ML systems, independently execute large-scale projects, and drive innovation within your team. As an expert in your field you will contribute significantly to strategic decision-making, mentor junior team members, and often represent the </span><span>department</span><span> through external presentations, publications, or industry collaborations.</span></span></p><p></p><p><u><b><span>Key <span><span>Accountabilities: </span></span></span></b></u></p><p></p><ul><li><p><span><span>Training</span><span> Machine Learning models</span></span><span> </span></p></li><li><p><span><span>Processing and </span><span>understanding</span><span> large datasets</span></span></p></li><li><p><span><span>Optimizing ML algorithms for performance and scalability</span></span></p></li><li><p><span><span>Integrating ML models into existing software application</span></span></p></li><li><p><span><span>Collaborating with data scientists</span><span>, business analysts,</span><span> and software engineers</span></span><span> </span><span><span>Staying </span><span>up to date</span><span> with the latest ML technologies and best practices</span></span></p></li><li><p><span><span>Following software engineering best practices</span></span><span> </span></p></li></ul><p></p><p><b><u><span>Education:</span></u><span> </span></b></p><ul><li><p><span><span>Educated to </span><span>Master’s</span><span> or PhD level in engineering or computer science </span><span>with a focus on Machine Learning </span></span><b><span>(and NLP) </span></b><span><span>or other </span><span>equivalent</span><span> <span><span><span>qualification/experience.</span></span></span><span> </span></p></li></ul><p></p><p><b><u><span>Skills:</span></u></b></p>​<ul><li><p><span><span>Excellent CS fundamentals including data structures, algorithms, and distributed systems.</span></span></p></li><li><p><span><span>Deep Python experience .</span></span></p></li><li><p><span><span>Deep understanding of Machine Learning, Natural Language Processing (NLP), Deep Learning, (building and deploying NLP systems).</span></span></p></li><li><p><span><span>Theoretical and practical proficiency in probability, statistical NLP algorithms, and modern ML technologies, including: transformers, graphical models, information retrieval techniques, LLMs, time series models, Reinforcement Learning, etc</span></span></p></li><li><p><span><span>Excellent interpersonal, </span><span>verbal</span><span> and written communication skills, including in the contexts of project leadership and mentorship.</span></span></p></li><li><p><span><span>A flexible attitude with respect to work assignments and new learning .</span></span></p></li><li><p><span><span>Ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail .</span></span></p></li><li><p><span><span>Willingness to work in a team environment and to value the importance of teamwork.  </span></span><span><span>Willingness to work in a matrix environment with a variety of nontechnical stakeholders and technical collab