About Knowde Knowde is a global software company digitally transforming the $5 trillion chemical industry by solving the root problem holding the industry back: organizing and digitizing product data. Knowde provides touchless product master data and a suite of purpose-built, integrated tools to accelerate digital transformation, helping Chemical Industry suppliers and distributors unleash the hidden power of their product information and get it into the hands of the people who drive value — sales, regulatory, supply chain and, of course, their customers. More than 8,000 of the worlds largest suppliers and distributors use Knowde to accelerate their digital transformation and drive business growth. We’ve raised over $175M from the world’s leading investors, including Sequoia Capital and Coatue, to realize our vision. Come Join Us! We have an exciting opportunity for an experienced Python Engineer focused on AI and Machine Learning, to join our growing team. Were building out a two-sided marketplace for the chemical industry, which is responsible for 1/4th of global GDP. To support our mission, we’ve embarked on a project to allow our customers to easily find chemical compounds, formulations, and documents they may be interested in. This is specifically tailored to our industry, and our customers love it. The project has serious engineering challenges: efficiently ingesting data from several sources and keeping overall search performance and accuracy in check. We have a dedicated team whose sole purpose is to maintain a complex chemical taxonomy used everywhere in the project. We’re investing in automating as much of this process as possible to process a magnitude more data than we currently do. About the Role: We have an exciting opportunity for an experienced Python Engineer focused on AI and Machine Learning, to join our team.  We’re building out a two-sided marketplace for the chemical industry, which is responsible for 1/4th of global GDP. To support our mission, we’ve embarked on a project to allow our customers to easily find chemical compounds, formulations, and documents they may be interested in. This is specifically tailored to our industry, and our customers love it.  This project has serious engineering challenges: efficiently ingesting data from several sources and keeping overall search performance and accuracy in check. We have a dedicated team whose sole purpose is to maintain a complex chemical taxonomy used everywhere in the project. We’re investing in automating as much of this process as possible to process a magnitude more data than we currently do. About the role We’re looking for an experienced Python Engineer to join our dynamic team. The ideal candidate will be critical in connecting our systems and applications, building up the system architecture, contribute to the development of our AI chatbot platform and multiple other AI related solutions. This role presents an exciting opportunity to work in a fast-paced environment with some of the brightest minds in the industry. What Youll Be Doing <ul> <li>Working in a small, remote team you will collaborate closely with both the product and technical leadership, contributing to the strategic direction of the product and influencing key technical decisions.</li> <li>Lead the transformation of extracted information into reliable and structured data through advanced refinement, cleaning, and normalization techniques.</li> <li>Design, implement, and maintain efficient data processing pipelines to ensure seamless functionality and optimal performance of the system’s core components.</li> <li>Work closely with internal teams to integrate various internal APIs into the system, enhancing its capabilities and user experience.</li> <li>Contribute to the overall system architecture, ensuring scalability, reliability, and performance of the data processing platform.</li> <li>Write clean, efficient, and well-documented code. Implement best practices for testing, code reviews, and version control.</li> <li>Continuously evaluate and improve the system’s performance, staying up-to-date with the latest advancements in AI, machine learning, and natural language processing.</li> </ul> What You Should Have <ul> <li>5+ years of commercial experience in Python ecosystem</li> <li>2+ years of commercial experience in machine learning, data science, natural language processing, or related fields.</li> <li>Strong proficiency in Python and experience with AI libraries such as Langchain, TensorFlow, PyTorch, Scikit-learn, or Keras</li> <li>Proficiency in data science tools and libraries such as Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization.</li> <li>Strong analytical and problem-solving skills focused on optimizing AI and machine learning models.</li> <li>Hands-on experience with vector stores.</li> <li>Experience with API development and integration.</li> <li>Proficiency with data processing pipelines and associated tools.</li> <li>Proven ability to deliver high-quality software solutions on time and within scope.</li> <li>Demonstrable experience in leading or contributing significantly to AI projects.</li> <li>Ability to work effectively in a collaborative team environment and contribute to the growth and success of the team.</li> <li>Proficiency in Elasticsearch or other FTS engines would be a plus</li> <li>Fluent in speaking and writing English</li> </ul> Our Perks &amp; Benefits <ul> <li>Location: Rzeszów or Białystok office (Poland), or remotely from Poland </li> <li>Flexible working hours</li> <li>Opportunity to work on innovative projects with a strong team of engineers</li> <li>Plenty of room to learn and grow your own career as the team scales out</li> </ul> <div> <div> <div> Knowde is an equal opportunity employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Knowde will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. </div> </div> </div>