TALPRO INDIA PRIVATE LIMITED - AI Developer - Python + AWS Bedrock

Client: TALPRO INDIA PRIVATE LIMITED

Location: Remote, MH, in

Contract: Contract

Job Description

This is a remote position.

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.

Budget: 90k monthly

Contract Duration: 12 months

Work Mode: permanent Remote

Yrs. Of Experience: 5+ yrs

Immediate Joiners only
Requirements

Mandatory Skills:

• Langchain
• AWS Lambda, SNS, SQS, API Gateway
• FastAPI
• PG Vector Database
• Postman
• Git

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.

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.