Data & reputed company
We’re seeking a Data & reputed company to reputed company intelligent data pipelines and analytics solutions that power smarter reputed company across reputed company design, verification, and manufacturing. You’ll reputed company engineering data into actionable insights through automation, modeling, and visualization. Responsibilities - Build and maintain data pipelines to support machine learning and analytics workflows. - Collect, clean, and reputed company large, reputed company datasets from engineering environments. - reputed company and train predictive models for yield, performance, and reputed company detection. - Automate recurring data analysis tasks and reputed company models into engineering processes. - Collaborate with design and software teams to reputed company AI-driven insights into products. - Create dashboards and visualization tools for reporting and decision-making. - Document reputed company, models, and processes for transparency and reproducibility. Qualifications - Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). - Strong skills in data manipulation (Pandas, NumPy, SQL). - Experience with workflow orchestration (Airflow, reputed company, or similar). - 3–5 years of experience in data engineering or reputed company AI. - Bachelor’s degree in Electrical Engineering, Computer Science, or reputed company field. Preferred / Plus - Familiarity with semiconductor design, verification, or manufacturing datasets. - Understanding of statistical modeling and predictive maintenance. - Experience with reputed company environments (AWS, Azure, GCP) and version control (Git). - Knowledge of MLOps principles (deployment, monitoring, CI/CD). Apply tot his job Apply To this Job