ETL Python Developer
Job Description:
1. At least 4 to 8 years of Extensive hands on experience in programming skills in Java and Python.
2.Proficiency in SQL (query writing, stored procedures, database design, optimization).
3.Hands-on experience with PyTorch for deep learning model development.
4.Experience in building LLM-powered applications using LangChain (v4 preferred).
5.Experience with API development, integration, and microservices.
6.Knowledge of cloud platforms (AWS/Azure/GCP) for deployment is a plus.
7.Familiarity with version control (Git), CI/CD tools, and Agile methodologies.
Strong programming skills in Java and Python.
Proficiency in SQL (query writing, stored procedures, database design, optimization).
Hands-on experience with PyTorch for deep learning model development.
Experience in building LLM-powered applications using LangChain (v4 preferred).
Experience with API development, integration, and microservices.
Design, develop, and maintain applications using Java for backend services and SQL for database management.
Build data pipelines and ETL processes to handle large-scale structured and unstructured data.
Develop and deploy AI/ML models using PyTorch, ensuring high performance and accuracy.
Work with LangChain v4 to design, optimize, and deploy LLM-based applications and AI agents.
Collaborate with cross-functional teams (Data Engineers, Product Managers, Architects) to deliver robust, scalable solutions.
Optimize application performance, including query optimization in SQL and model inference efficiency in Python/PyTorch.
Implement best practices for coding standards, CI/CD, testing, and version control.
Stay updated with the latest trends in AI, LLMs, and software frameworks to bring innovation into the team.
Job Description:
1. At least 4 to 8 years of Extensive hands on experience in programming skills in Java and Python.
2.Proficiency in SQL (query writing, stored procedures, database design, optimization).
3.Hands-on experience with PyTorch for deep learning model development.
4.Experience in building LLM-powered applications using LangChain (v4 preferred).
5.Experience with API development, integration, and microservices.
6.Knowledge of cloud platforms (AWS/Azure/GCP) for deployment is a plus.
7.Familiarity with version control (Git), CI/CD tools, and Agile methodologies.
Strong programming skills in Java and Python.
Proficiency in SQL (query writing, stored procedures, database design, optimization).
Hands-on experience with PyTorch for deep learning model development.
Experience in building LLM-powered applications using LangChain (v4 preferred).
Experience with API development, integration, and microservices.
Design, develop, and maintain applications using Java for backend services and SQL for database management.
Build data pipelines and ETL processes to handle large-scale structured and unstructured data.
Develop and deploy AI/ML models using PyTorch, ensuring high performance and accuracy.
Work with LangChain v4 to design, optimize, and deploy LLM-based applications and AI agents.
Collaborate with cross-functional teams (Data Engineers, Product Managers, Architects) to deliver robust, scalable solutions.
Optimize application performance, including query optimization in SQL and model inference efficiency in Python/PyTorch.
Implement best practices for coding standards, CI/CD, testing, and version control.
Stay updated with the latest trends in AI, LLMs, and software frameworks to bring innovation into the team.