Python / PySpark Engineer with AI Experience

2 weeks ago


Hyderabad, India iDWTeam Full time

We are looking for a talented Python/PySpark Engineer with a strong understanding of AI/ML concepts to join our data and analytics team. The ideal candidate will be experienced in building scalable data pipelines, working with big-data technologies, and supporting machine learning workflows in production environments. Key Responsibilities Develop and optimize data pipelines using Python and PySpark . Work with large-scale datasets in distributed computing environments. Collaborate with data scientists to prepare, transform, and operationalize data for ML models. Implement and maintain data quality, validation, and monitoring frameworks. Support ML model deployment, performance tracking, and lifecycle management. Apply AI/ML concepts such as feature engineering, model evaluation, and inference workflows. Integrate data from cloud storage, APIs, databases, and streaming sources. Follow best practices for code quality, version control, and CI/CD automation. Required Skills & Experience 3+ years of hands-on experience with Python for data engineering or data-related development. Strong experience with PySpark and distributed data processing. Understanding of AI/ML concepts (feature engineering, training pipelines, model monitoring, etc.). Experience with cloud platforms (Azure / AWS / GCP). Strong SQL skills for data manipulation and performance tuning. Experience with Git and CI/CD pipelines. Ability to work in a fast-paced, collaborative environment. Preferred Qualifications Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn). Exposure to MLOps tools (MLflow, Kubeflow, SageMaker, Azure ML). Experience with orchestration tools such as Airflow, ADF, or Databricks Workflows. Familiarity with data-lake and lakehouse architectures. Knowledge of data visualization tools (Power BI, Tableau). What We Offer Competitive salary and benefits package. Opportunity to work with modern data and AI technologies. Learning and certification support. Collaborative and innovative work environment.



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