Python AI Engineer
Overview: Role - Python AI Engineer Experience Required - 8+ Years We are seeking a skilled Python Developer with strong expertise in PostgreSQL, and PyTest. The role involves building robust data processing solutions, optimizing relational databases, and implementing automated testing frameworks for enterprise-grade applications. Roles & Responsibilities • Design and develop data processing pipelines and utilities using Python. • Java, API, Python, Cloud, Microservice based architecture, Spring boot, Vertex, Kafka, RDBMS, No SQL, Maven, GIT, Jenkins, CI/CD • Python, AI/ML, Tensorflow, LLM, GenAI • Implement efficient data ingestion and transformation workflows using Pandas. • Model, implement, and optimize PostgreSQL schemas and queries for large datasets. • Develop and maintain automated test suites using PyTest (unit, integration, regression). • Integrate data and service layers via REST/gRPC and enforce type safety. • Build and maintain CI/CD pipelines with quality gates and test automation. • Ensure application observability through logging, metrics, and performance profiling. • Implement data security and compliance measures (RBAC, encryption, auditing). • Collaborate with cross-functional teams to deliver production-ready solutions. • Provide production support and drive root-cause analysis for critical issues Required Qualification • 5+ years of professional experience in Python development. • Expertise in Python and Pandas for data manipulation and analysis. • Strong SQL skills and hands-on experience with PostgreSQL (query tuning, schema design). • Proficiency in PyTest for automated testing and CI/CD integration. • Familiarity with ETL patterns and large-scale data processing. • Experience with Git-based workflows and CI/CD tools. • Knowledge of Linux, Docker, and scripting for automation. • Strong communication and collaboration skills; Agile experience. Generic Managerial Skills, If any • Experience with SQLAlchemy, Alembic, and ORM frameworks. • Familiarity with Airflow or Prefect for workflow orchestration. • Exposure to Kafka or RabbitMQ for messaging. • Knowledge of FastAPI or Flask for API development. • Prior experience in BFSI domain Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. Skills: Digital : Python