AI Developer - Python + AWS Bedrock

TALPRO INDIA PRIVATE LIMITED · Staffing & Recruitment

Remote
Posted 11 days ago
Data & AI
Contract

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About the job

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 :

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:

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 .

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.

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.

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.

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 .

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