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