Sr. AI Developer

Job Summary


Responsibilities

• Built containerized microservices using AWS ECS, RabbitMQ, and implemented monitoring with Grafana and Loki.
• Contributed to the development of trading systems with real-time execution, broker integrations, and kill switch mechanisms.
• Skilled in integrating broker APIs, building internal SDKs, and developing scalable backend architectures using FastAPI and Django.
• Developed AI-based solutions including OCR, PDF extraction, and Resume ATS systems using TensorFlow, OpenCV, and GPT APIs.
• Experience working in cloud environments (AWS), and hands-on with PostgreSQL, RDS, S3, Redis, Kafka, and more.
• Co-authored peer-reviewed research published in Springer and IEEE on multilingual summarization and EEG-driven learning techniques.

Technical Skills

• Programming Languages: Python, JavaScript
• Frameworks: FastAPI, Django, Streamlit
• Cloud DevOps: AWS (Lambda, ECS, EC2, S3, Glue, RDS), Docker, Grafana, Loki, CloudWatch
• Databases: PostgreSQL, MySQL, DynamoDB
• Message Brokers: RabbitMQ, Kafka

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.