Work closely with operations managers, business analysis, CTO, and product development team members Provide technical support to scale our existing systems rapidly Accelerate the learning process within the organization to drive business growth Explore, develop and implement ML solutions to drive automation, protect quality, and accelerate commissioning Job Requirements: Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience) At least 3+ years of relevant experience as a data scientist/ML engineer Proficiency with data wrangling and data science fundamentals Experience working with ETL and ELT pipelines Knowledge of Computer Vision fundamentals (object detection, segmentation, and feature extraction) Strong understanding of Machine Learning concepts such as classification and regression Familiarity with Time Series Analysis (forecasting and anomaly detection) Experience with GitHub, Python, and GCP (Cloud Functions, Scheduler, and Cloud Compute) Some experience with Airtable, InfluxDB, Discrete Event Modeling / Operations Simulation is desirable Working knowledge of IoT, MQTT, PubSup, and systems architecture is an added advantage Role: Full Stack Data Scientist Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate read more Key Skills Computer visionAutomationSimulationFood technologyGCPMachine learningForecastingTechnical supportPython
Remote
Remote
Business Analyst
(Based On Interview)
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