AI/ML Data Engineer | Unstructured Data, PySpark, Vector Search, Retrieval-Augmented Generation (RAG), Cloud (AWS/Azure/GCP)

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.

Requirements

• Expertise in Python (latest stable version) for data processing, automation, and ML workflows
• Hands-on experience with PySpark for distributed data processing at scale
• Experience with data ingestion, cleansing, and transformation for unstructured data (PDFs, emails, forms)
• Familiarity with NLP and AI frameworks such as Hugging Face, Transformers, LangChain, and FAISS for semantic search and retrieval-augmented generation (RAG) systems
• Knowledge of data storage solutions including NoSQL (MongoDB, DynamoDB) and relational databases (PostgreSQL, MySQL)
• Experience working with cloud platforms such as AWS, Azure, or GCP for deployment and scalability
• Understanding of data quality metrics, data governance, and data security best practices
• Experience with AI/ML lifecycle management including model training, fine-tuning, prompt engineering, and inference deployment
• Familiarity with containerization (Docker) and orchestration (Kubernetes) for scalable AI/ML systems
• Knowledge of data orchestration tools like Apache Airflow or Prefect
• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field
• 6+ years supporting or developing data engineering or AI pipelines supporting enterprise applications
• Certifications such as GCP Professional Data Engineer, AWS Certified Machine Learning, or equivalent are advantageous
• Proven experience with unstructured data processing, vector search, and retrieval-augmented generation workflows

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Visa Sponsorship