Data Scientist - Machine Learning

<p><p><b>Job Description :</b></p><p><p><b><br/></b></p><p><b>Key Responsibilities :</b></p><br/>- Design and implement robust data preparation pipelines tailored for manufacturing data.<br/><br/>- Collaborate with engineering and domain teams to deliver scalable and reusable data solutions.<br/><br/>- Contribute to the architecture and development of a real-time recommendation system.<br/><br/>- Ensure production readiness, including model deployment and real-time inference capabilities.<br/><br/>- Work within a global, cross-functional agile team.</p><p><br/></p><p><b>Must-Have Qualifications :</b><br/><br/>- 6+ years of overall experience, with at least 6+ years in Data Science & ML.<br/><br/>- Strong Python programming and ML libraries (scikit-learn, pandas, etc.)<br/><br/>- Proven experience with manufacturing data and processes.<br/><br/>- Hands-on in building recommender systems.<br/><br/>- Experience in deploying ML models in production (real-time inference, MLOps).<br/><br/>- Proficiency in SQL, PySpark, data engineering pipelines.<br/><br/>- Exposure to cloud platforms (AWS/GCP/Azure) and containerization (Docker, Experience :</b><br/><br/>- Prior experience in CPG/FMCG domain.<br/><br/>- Experience in Manufacturing domain / Logistics domain.<br/><br/>- Hands-on with real-time recommendation engines.</p><br/></p> (ref:hirist.tech)