Data Engineer with AI/ML Expertise

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We are seeking a skilled Data Engineer with experience in AI/ML to join our team. In this role, you will design, build, and maintain scalable data pipelines that support machine learning models and advanced analytics. You will work closely with data scientists, ML engineers, and stakeholders to ensure data is clean, reliable, and readily accessible for model training and real-time inference. Key Responsibilities: Develop and maintain data pipelines for ML workflows. Optimize data architecture for performance, scalability, and reliability. Collaborate with ML and analytics teams to deploy models into production. Integrate structured and unstructured data from various sources. Automate data quality checks and ensure data integrity. Required Skills: Proficiency in SQL and Python (or Scala/Java). Experience with cloud platforms (GCP, AWS, or Azure). Familiarity with ML frameworks (e.g., TensorFlow, PyTorch, or scikit-learn). Experience with orchestration tools like Airflow or Dagster. Knowledge of data warehousing (e.g., BigQuery, Redshift, Snowflake). Understanding of MLOps practices is a strong plus. Preferred Qualifications: Bachelor's or Master’s degree in Computer Science, Engineering, or related field. Experience with real-time data processing (Kafka, Spark Streaming). Strong problem-solving and communication skills. -------------------------------------------- Job Skills: Python, SQL, Pandas, Databrics, GCP, TensorFlow, PyTorch, scikit-learn, Bigquery, Snowflake, MLOps, Kafka, Airflow. Looker, LLM, OpenAI, ChatGPT, LLama. Pinecone

Keyword: Data Processing

Price: $65.0

Data Science Artificial Intelligence