AI/ML

Required Skills:
Strong programming skills in Python / SQL
Hands-on experience in data engineering tools (Spark, Hadoop, Airflow, Kafka, etc.)
Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
Expertise in building ETL/ELT pipelines and data processing systems
Experience with cloud platforms (AWS, Azure, or GCP)
Knowledge of model deployment and monitoring techniques
Understanding of data drift, model drift, and pipeline optimization
Familiarity with CI/CD pipelines and version control (Git)