We are looking for an experienced Senior AI Data Engineer to design, build, and optimize scalable data infrastructure that powers advanced AI and Machine Learning solutions. You will work closely with Data Scientists, ML Engineers, and DevOps teams to deploy production-ready AI systems that drive business impact.

This role requires strong expertise in data engineering, cloud platforms, big data technologies, and AI/ML pipeline development.

 Key Responsibilities

• Design and develop scalable data pipelines for AI and ML workloads
• Build and maintain ETL/ELT processes for structured and unstructured data
• Develop and optimize real-time and batch data processing systems
• Deploy and manage ML models in production environments
• Implement data governance, security, and compliance standards
• Collaborate with cross-functional teams to translate business needs into technical solutions
• Optimize performance of large-scale data systems
• Mentor junior data engineers and contribute to architectural decisions

 Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI, or related field
• 5+ years of experience in data engineering or AI infrastructure roles
• Strong programming skills in Python and SQL
• Experience with big data tools like Apache Spark, Hadoop, or Kafka
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
• Experience building ML pipelines using TensorFlow or PyTorch
• Strong understanding of data modeling and database design
• Knowledge of containerization tools like Docker and Kubernetes

Preferred Skills

• Experience with MLOps practices
• Knowledge of CI/CD pipelines
• Experience with data warehousing tools (Snowflake, Redshift, BigQuery)
• Strong problem-solving and leadership skills

 What We Offer

• Competitive salary ($160K – $200K)
• Performance bonuses
• Health, dental, and vision insurance
• Flexible remote work options
• Career growth in AI and advanced analytics
• Opportunity to work on cutting-edge AI project