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Job Description
This is a remote position.
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
- Langchain
- Aws lambda, Sns, sqs, api gateway
- Fast api
- Pg vector database
- Postman
- Git
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.
Job Responsibilities
- 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 .
- 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 .
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 .
- 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 .