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 silicon design, verification, and manufacturing. You’ll transform 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 transform large, reputed company datasets from engineering environments. - reputed company and train predictive models for yield, performance, and anomaly detection. - Automate recurring data analysis tasks and integrate models into engineering processes. - Collaborate with design and software teams to embed AI-driven insights into products. - Create dashboards and visualization tools for reporting and decision-making. - Document code, 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, Spark, or similar). - 3–5 years of experience in data engineering or applied 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