AI Developer, Python, AWS Bedrock

Talpro India Private Limited

AI Developer specializing in Python and AWS Bedrock for machine learning projects at Talpro. Responsible for developing, deploying, and optimizing AI models for innovative applications.

Posted 6/23/2026contractRemote • 🇮🇳 IndiaMid-LevelSenior💰 $90,000 per monthWebsite

Tech Stack

Tools & technologies

AirflowApacheAWSCloudDockerDynamoDBETLFlaskKubernetesMicroservicesMongoDBMySQLNoSQLNumpyPostgresPythonPyTorchScikit-LearnSparkTensorflow

About the role

Key responsibilities & impact

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.
Implement ETL processes for AI data handling.
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

What you’ll need

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.
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.
Proficiency in Git and best practices for collaborative development.
Familiarity with project management tools like Jira or Trello.

Benefits

Comp & perks

Flexible work arrangements
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonTensorFlowPyTorchscikit-learnRESTful API developmentmicroservices architectureDockerKubernetesPostgreSQLETL processes

Soft Skills

collaborationcommunicationdocumentationproblem-solvingexplanation of AI concepts