Synechron is seeking an experienced Python Data & AI Engineer to develop and deploy intelligent data pipelines for AI/ML applications, focusing on unstructured data processing and cloud technologies. The ideal candidate will have a strong background in Python, PySpark, cloud platforms, and AI frameworks, with a commitment to innovation and collaboration
Job Summary
Synechron is seeking a highly experienced Python Data & AI Engineer to lead the design, development, and deployment of intelligent data pipelines supporting AI/ML applications.
The successful candidate will collaborate with cross-functional teams to innovate data solutions, optimize performance, and enable AI-driven insights aligned with enterprise goals.
This role involves integrating unstructured data processing, working with large-scale data storage, and supporting AI model deployment in production environments.
Matching Summary
Match Score: 85
Synechron is seeking an experienced Python Data & AI Engineer to develop and deploy intelligent data pipelines for AI/ML applications, focusing on unstructured data processing and cloud technologies. The ideal candidate will have a strong background in Python, PySpark, cloud platforms, and AI frameworks, with a commitment to innovation and collaboration.
Skills & Requirements
Must-have
Expertise in Python for data processing
Hands-on experience with PySpark
Experience with unstructured data processing
Familiarity with NLP and AI frameworks
Knowledge of NoSQL and relational databases
Experience with AWS, Azure, or GCP
Nice-to-have
Experience with AI/ML lifecycle management
Familiarity with containerization and orchestration
Knowledge of data orchestration tools
Key Requirements
Minimum of 6 years supporting data engineering
Proven expertise in building large-scale data pipelines