Talpro India Private Limited

Backend Engineer

• Develop, train, fine-tune, and deploy machine learning models using TensorFlow, PyTorch, scikit-learn, and NumPy.
• Work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) Systems, NLP, and computer vision.
• Integrate and utilize pre-trained AI models, including those in AWS Bedrock.
• Optimize AI model performance, scalability, and efficiency.
• Design and develop RESTful APIs using Flask or FastAPI for AI model deployment.
• Implement robust microservices architecture for AI-based applications.
• Ensure secure, efficient, and scalable backend AI solutions.
• Deploy AI solutions using AWS Bedrock and integrate with services like S3, Lambda, SageMaker, ECS/EKS, and IAM.
• Manage cloud infrastructure provisioning, cost optimization, and security policies.
• Work with CI/CD pipelines for seamless AI model deployment.
• Utilize Docker and Kubernetes for containerized deployments.
• Design, query, and optimize relational (PostgreSQL, MySQL) and NoSQL (DynamoDB, MongoDB) databases.
• Develop and automate data pipelines using Apache Airflow, AWS Glue, or Spark.
• Implement ETL processes for AI data handling.
• Collaborate with data scientists, engineers, and product managers to integrate AI into applications.
• Write clear documentation for AI models, workflows, and deployment processes.
• Explain AI concepts to non-technical stakeholders when required.

AI Developer, Python, AWS Bedrock