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SAP Incentive Management - DI and Reporting Professional BCForward

5.0 - 10.0 years

5 - 10 Lacs

Gurgaon / Gurugram, Haryana, India

On-site

Foundit logo

Contract To Hire(C2H) Role Mandatory Skill: Reporting Embedded analytics and hana PLSQL DI CDL, XDL, Data Sphere, SDI (Smart DI), hana Data base knowledge and Oracle PLSQL. Configuration Strong SAP commission configuration, Dashboard knowledge. Data Integration strong knowledge and basic SAP commission knowledge for all of these above skill sets. SAP commission oracle to Henna migration. Years of experience : 6yrs to 8yrs relevant and 12 yrs. total exp. Please share your Updated Resume, PAN card soft copy, Passport size Photo & UAN History. Note: Looking for Immediate to 30-Days joiners at most.

Posted 1 week ago

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Data Science Engineer Ashkom

3.0 - 8.0 years

0 - 3 Lacs

Hyderabad

Work from Office

Job Summary: We are looking for a Machine Learning Engineer with strong data engineering capabilities to support the development and deployment of predictive models in a smart manufacturing environment. This role involves building robust data pipelines, developing high-accuracy ML models for defect prediction, and implementing automated control systems for real-time corrective actions on the production floor. Key Responsibilities: Data Engineering & Integration: Validate and ensure the correct flow of data from Influx DB/CDL to Smart box/Databricks. Assist data scientists in the initial modeling phase through reliable data provisioning. Provide ongoing support for data pipeline corrections and ad-hoc data extraction. ML Model Development for Defect Prediction: Develop 3 separate ML models for predicting 3 types of defects based on historical data. Predict defect occurrence within a 5-minute window using: Artificial sampling techniques Dimensionality reduction Deliver results with: Accuracy 95% Precision & recall 80% Feature importance insights Closed-Loop Control System Implementation: Prescribe machine setpoint changes based on model outputs to prevent defect occurrence. Design and implement a closed-loop system that includes: Real-time data fetching from production line PLCs (via Influx DB/CDL). Deployment of ML models on Smart box. Pipeline to output recommendations to the appropriate PLC tag. Retraining pipeline triggered by drift detection (cloud-based retraining when recommendations deviate from centerlines). Qualifications: Education: Bachelor's or Masters degree in Computer Science, Data Science, Electrical Engineering, or related field. Technical Skills: Proficient in Python and ML libraries (e.g., scikit-learn, XG Boost, pandas) Experience with: Influx DB and CDL for industrial data integration Smart box and Databricks for model deployment and data processing Real-time data pipelines and industrial control systems (PLCs) Model performance tracking and retraining pipelines Preferred: Experience in manufacturing analytics or predictive maintenance Familiarity with Industry 4.0 principles and edge/cloud hybrid architectures Soft Skills: Strong analytical and problem-solving abilities Effective communication with cross-functional teams (data science, automation, production) Attention to detail and focus on solution reliability

Posted 2 weeks ago

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