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><b> Patients First, Quality, Respect, Empowerment &amp; Accountability.</b></span></p><p></p><p><span>This role will work within our<b> </b></span><b>AI Labs’ </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>Poland </b><span>and can be</span><b> fully home based (you can be located anywhere in Poland).</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 <b>Senior Machine Learning (ML) Engineer I </b>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><span><span>Accountabilities: </span></span></span></span></span></b></u></p><p></p><p><b><span>ML and </span><span>Natural Language Processing (NLP) </span><span>Technology</span></b><span> </span></p><ul><li><p><span><span>Leverage proprietary technology stack to build custom machine learning </span><span>models.</span></span></p></li><li><p><span><span>Design</span><span>, implement, and document new </span><span>ML/</span><span>NLP modeling techniques and </span><span>strategies.</span></span></p></li><li><p><span><span>Develop Back-end / server-side software to </span><span>support AI solution development and </span><span>serving.</span></span></p></li><li><p><span><span>Build internal frameworks, libraries, and infrastructure to improve machine learning and NLP capabilities to allow for rapid prototyping and new product </span><span>delivery.</span></span></p></li><li><p><span><span>Review and adapt recent research </span><span>in ML and NLP</span><span> into prototypes and production</span><span> </span><span>solutions.</span></span></p></li><li><p><span><span>Review and improve the code of other engineers to enhance </span><span>ML </span><span>quality and security.</span></span></p></li></ul><p></p><p><b><span>Applied ML POCs and Experimentation</span></b><span> </span></p><ul><li><p><span><span>Understand business needs and user workflows and interpret in the context of potential AI </span><span>solutions.</span></span></p></li><li><p><span><span>Develop custom models </span><span>and</span><span> AI/NLP solutions </span><span>to address </span><span>business </span><span>needs.</span></span></p></li><li><p><span><span>Lead experiment and evaluation design based on </span><span>well-founded best practices in machine learnin</span><span>g to ensure </span><span>safe, effective, and principled AI development </span><span>practices.</span></span></p></li><li><p><span><span>Carry out AI solution prototyping and experimentation.</span></span></p></li></ul><p></p><p><b><span>AI-based Production Solutions</span></b><span> </span></p><ul><li><p><span><span>Collaborate with Product to define and implement features to satisfy customer </span><span>requirements.</span></span></p></li><li><p><span><span>Partner with </span><span>application engineering to build </span><span>high quality</span><span> AI-based</span><span> production</span><span> </span><span>software.</span></span><span> </span></p></li><li><p><span><span>Participate in planning and check-in meetings to </span><span>identify</span><span> customer needs, potential roadblocks and solutions</span><span> and support the software solution lifecycle from an AI perspective.</sp