Data Engineer Needed

We are looking for an experienced Senior Data Engineer to help build and deploy machine learning models for real-time data analysis. The ideal candidate will have a strong background in data engineering, machine learning algorithms, and real-time data processing platforms. Responsibilities: - Develop machine learning models for data analysis and prediction. - Work with large-scale data processing frameworks like Spark and Kafka. - Integrate ML models into production systems for real-time processing. - Collaborate with cross-functional teams to define and understand project requirements. - Ensure the models are optimized for performance, scalability, and maintainability. Required Skills: - Proficiency in Python, TensorFlow, or PyTorch. - Experience with data frameworks like Spark, Databricks, or AWS Glue. - Familiarity with cloud platforms (AWS, Azure, or GCP). - Strong knowledge of ML algorithms, statistics, and data analysis techniques. - Knowledge of data pipelines, ETL processes, and model deployment. - Experience with real-time data systems like Kafka or AWS Kinesis. Nice to Have: - Experience with LLMs (Large Language Models) and agent-based AI systems. - Knowledge of containerization and CI/CD pipelines (Docker, Kubernetes). - Experience with NLP (Natural Language Processing) tasks.