<p><p><b>We're Hiring : </b> Data Scientist Manufacturing & Recommender Systems.<br/><br/><b>Location : </b> Type : </b> Full-time.<br/><br/><b>Experience : </b> 3+ years.<br/><br/>Are you passionate about building scalable data solutions and deploying cutting-edge ML models in real-world manufacturing environments?
Join our growing global team and help us revolutionize industrial intelligence through real-time recommendation systems and smart data Responsibilities : </b></p><p><br/></p>- Design, build, and maintain robust data preparation pipelines tailored to complex manufacturing datasets.<br/><br/></p><p>- Collaborate with engineering and domain experts to develop scalable, reusable, and maintainable data solutions.<br/><br/></p><p>- Architect and contribute to the development of a real-time recommendation system.<br/><br/></p><p>- Ensure models are production-ready with seamless deployment and real-time inference capabilities.<br/><br/></p><p>- Participate in a global, cross-functional agile team environment focused on innovation and Qualifications : </b></p><p><br/></p>- 3+ years of hands-on experience in Data Science with a solid foundation in Machine Learning.<br/><br/></p><p>- Proven expertise in data engineering and building scalable ML pipelines.<br/><br/></p><p>- Experience working with manufacturing data and a strong understanding of manufacturing processes.<br/><br/></p><p>- Demonstrated success in deploying ML models to production (real-time inference, MLOps).<br/><br/></p><p>- Proficiency in Python, SQL, and popular ML libraries (e.g., scikit-learn, pandas).<br/><br/></p><p>- Experience with recommender systems and personalization algorithms.<br/><br/></p><p>- Familiarity with cloud platforms (AWS, GCP, or Azure) and containerized deployments using Docker and Kubernetes.</p><br/></p> (ref:hirist.tech)