We are looking for a highly skilled and experienced Senior AI / Data Engineer to design, build, and scale data pipelines and AI-driven systems. The ideal candidate will have strong expertise in data engineering, machine learning infrastructure, and production-grade AI solutions. You will work closely with data scientists, software engineers, and business stakeholders to deliver impactful data and AI products.

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes
• Build and optimize data architectures (data lakes, data warehouses, streaming systems)
• Deploy, monitor, and maintain machine learning models in production
• Collaborate with data scientists to operationalize AI/ML models (MLOps)
• Ensure data quality, integrity, and governance across systems
• Optimize performance, reliability, and cost of data infrastructure
• Implement real-time and batch data processing solutions
• Work with cloud platforms (AWS, Azure, or GCP) to build scalable systems
• Automate workflows and CI/CD pipelines for data and ML systems
• Mentor junior engineers and contribute to best practices

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• 5+ years of experience in data engineering, AI engineering, or similar roles
• Strong programming skills in Python (mandatory) and SQL
• Hands-on experience with big data tools (Spark, Hadoop, Kafka, etc.)
• Experience with cloud platforms (AWS, Azure, or GCP)
• Solid understanding of machine learning lifecycle and MLOps practices
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Familiarity with data modeling and data warehousing concepts
• Strong problem-solving and analytical skills

• Experience with modern ML frameworks (TensorFlow, PyTorch)
• Knowledge of data governance, security, and compliance
• Experience with real-time analytics and streaming pipelines
• Background in AI product development
• Familiarity with tools like Airflow, dbt, or similar orchestration tools