AI Developer

Job Summary

We are seeking a skilled AI Developer with expertise in Python, AI/ML development, AWS Bedrock, and cloud computing. The ideal candidate should have experience working with machine learning frameworks, data engineering, and cloud infrastructure. This role requires strong problem-solving skills, AI model optimization capabilities, and hands-on experience in deploying scalable AI solutions.

Responsibilities

1. AI & Machine Learning Development:
   • 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.
2. Backend Development & API Integration:
   • 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.
3. Cloud & DevOps:
   • 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.
4. Database & Data Engineering:
   • 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.
5. Collaboration & Documentation:
   • 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

• Programming & AI Development:
  • 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.
• Backend & API Development:
  • Experience in RESTful API development using Flask or FastAPI.
  • Strong knowledge of OOP, functional programming, and microservices architecture.
• Cloud & DevOps:
  • 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.
• Data Engineering & Databases:
  • Strong knowledge of PostgreSQL, MySQL, DynamoDB, and MongoDB.
  • Experience with data pipelines, ETL processes, and Apache Airflow/Spark/AWS Glue.
• Version Control & Collaboration:
  • Proficiency in Git and best practices for collaborative development.
  • Familiarity with project management tools like Jira or Trello.

Soft Skills

• 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.