AI Developer, Python, AWS Bedrock

Job Description:

  • 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.

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.
  • Strong problem-solving and analytical thinking.
  • Excellent communication skills to explain AI models and technical concepts.
  • Ability to work collaboratively in cross-functional teams.
  • Adaptability to learn and implement emerging AI/ML technologies.

Benefits:

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