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AI Developer - Python + AWS Bedrock

TALPRO INDIA PRIVATE LIMITED · ₹1M/yr

IT Services and IT Consulting · 51-200 employees

Feb 11
Remote Senior (5-10 yrs) Contractor
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About the role

The AI Developer will design, train, and deploy machine learning models and LLMs while managing cloud infrastructure on AWS. They will also develop scalable RESTful APIs and automate data pipelines to integrate AI solutions into production environments.

What they look for

Python AWS Bedrock Langchain AWS Lambda FastAPI Pgvector PostgreSQL Machine Learning TensorFlow PyTorch Docker Kubernetes CI/CD Data Engineering Microservices RESTful APIs

Requirements

Candidates must have 5+ years of experience in Python-based AI/ML development and proficiency with AWS services and containerization tools. Strong knowledge of RAG systems, database management, and microservices architecture is essential for this role.

Full description

This is a remote position.

Job Description: AI Developer (5+ Years Experience) Budget: 1L 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

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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:

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.