Data Scientist

Job Description

Responsibilities: - Build and deploy ML models for predictive and prescriptive analytics. - Perform EDA, anomaly detection, forecasting, and statistical analysis on large industrial datasets. - Work on manufacturing, operational, sensor, IoT, SCADA, and time-series data. - Develop scalable ML pipelines using Python, PySpark, and Azure ML. - Collaborate with business and plant teams to convert operational problems into data science solutions. - Support MLOps activities, including deployment, monitoring, CI/CD, and model orchestration. Requirements: - Strong Python, Machine Learning, and Statistical Modelling experience. - Hands-on with scikit-learn, XGBoost/LightGBM, pandas, numpy. - Experience with PySpark and Azure ML. - Knowledge of time-series forecasting and anomaly detection - Exposure to MLOps and production ML deployment - Manufacturing/Industrial analytics experience preferred. Good to Have: - Databricks, Azure Data Factory, SCADA, IIoT, Historian systems, and Generative AI exposure. Company Summary EngiNeo specializes in SaaS, PaaS, and IaaS implementation services, offering cutting-edge cloud solutions to catalyze digital transformation in Indian enterprises. EngiNeo Team is founded by a team of professionals of Ex-Pwc, Ex-EY, Ex-KPMG, Ex- Oracle who have a combined experience of 50+ years in Technology Consulting, driving ERP implementations, and managed services for customers across industries. We aspire to be the premier suite of cloud product services, targeting the intricate digital transformation requirements of small and medium enterprises in India. We at EngiNeo carry expertise in driving ERP implementations and managed services for customers across industries like banking and finance, telecom, BPO, and professional services for modules like project-task management, contract management, payables, receivables, asset management, taxation, and people management. Our experience with Big4 consulting (PwC, EY, KPMG) has also enabled us to understand problems and advise customers on how to operationalize and automate their cloud investments through multiple models i. e. Applications, Infrastructure, and Services.

Required Skills

['Azure Machine Learning', 'Industrial Engineering', 'Manufacturing', 'MLOps', 'Python', 'SCADA', 'Scikit-learn', 'SQL', 'Azure Data Factory', 'CI / CD', 'Data Analysis', 'Databricks', 'ETL', 'Generative AI', 'IoT', 'Machine Learning']

Additional Information

Source recruiter: Silky S Source recruiter designation: Freelance Recruitment Coordinator Company tagline: The cloud transformation partner Employee count: 10 Company founded: 2023 Company tech stack: NetSuite, Oracle E-Business Suite, Odoo Website: https://engineosol.com/ LinkedIn: https://www.linkedin.com/company/engineo-solutions/?originalSubdomain=in Instahyre score: NA Strong match: NA Accept outstation: false Company tagline: The cloud transformation partner Logo: https://media.instahyre.com/images/profile/base/employer/49404/e7c9d492a2/engineo_solutions_logo.webp