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AI Developer, Python, AWS Bedrock
Location
India
Posted
122 days ago
Salary
₹100K / month
Seniority
Senior
Job Description
AI Developer, Python, AWS Bedrock
Talpro India Private Limited
• 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.
Job Requirements
- 5+ years of experience in Python development with AI/ML focus.
- Proficiency in AI/ML frameworks like TensorFlow, PyTorch, and scikit-learn.
- Experience in neural networks, NLP, LLMs, RAG, and computer vision.
- Experience in RESTful API development using Flask or FastAPI.
- Strong knowledge of OOP, functional programming, and microservices architecture.
- Experience with AWS Bedrock and other AWS services (S3, Lambda, SageMaker, ECS/EKS, IAM).
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes).
- Understanding of CI/CD pipelines and DevOps practices.
- Strong knowledge of PostgreSQL, MySQL, DynamoDB, and MongoDB.
- Experience with data pipelines, ETL processes, and Apache Airflow/Spark/AWS Glue.
- Proficiency in Git and best practices for collaborative development.
- Familiarity with project management tools like Jira or Trello.
Benefits
- Flexible work arrangements
- Professional development opportunities
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