AI Developer Python + AWS Bedrock

This is a remote position.

Job Description: AI Developer (5 Years Experience)
Budget: 90k monthly
Contract Duration- 12 months
Work Mode- permanent Remote
Yrs. Of Experience: 5 yrs
Immediate Joiners only

Mandatory Skills :

1. Langchain
2. Aws lambda Sns sqs api gateway
3. Fast api
4. Pg vector database
5. Postman
5. Git

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.

Job 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

Job Requirements:

Essential 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.