AI Developer, Python, AWS Bedrock

This is a fully remote position, open to applicants in India.

📋 Description

• Create, train, fine-tune, and implement machine learning models utilizing TensorFlow, PyTorch, scikit-learn, and NumPy.

• Engage with Large Language Models, Retrieval-Augmented Generation systems, NLP, and computer vision technologies.

• Integrate and leverage pre-trained AI models, including those from AWS Bedrock.

• Enhance AI model performance, scalability, and overall efficiency.

• Design and establish RESTful APIs using Flask or FastAPI for deploying AI models.

• Implement a resilient microservices architecture for applications based on AI.

• Ensure the development of secure, efficient, and scalable backend AI solutions.

• Deploy AI solutions utilizing AWS Bedrock, S3, Lambda, SageMaker, ECS/EKS, and IAM.

• Oversee cloud infrastructure provisioning, cost management, and security protocols.

• Collaborate with CI/CD pipelines for the deployment of AI models.

• Utilize Docker and Kubernetes for containerized application deployments.

• Design, query, and optimize databases such as PostgreSQL, MySQL, DynamoDB, and MongoDB.

• Create and automate data pipelines using Apache Airflow, AWS Glue, or Spark.

• Implement ETL processes for effective AI data management.

• Work collaboratively with data scientists, engineers, and product managers.

• Document AI models, workflows, and deployment methodologies.

• Articulate AI concepts to non-technical stakeholders as necessary.

⛳️ Requirements

• Over 5 years of experience in Python development with a focus on AI/ML.

• Expertise in TensorFlow, PyTorch, and scikit-learn.

• Proficient in neural networks, NLP, Large Language Models, Retrieval-Augmented Generation, and computer vision.

• Experience in developing RESTful APIs using Flask or FastAPI.

• Strong understanding of OOP, functional programming, and microservices architecture.

• Familiarity with AWS Bedrock, S3, Lambda, SageMaker, ECS/EKS, and IAM.

• Practical experience with Docker and Kubernetes.

• Knowledge of CI/CD pipelines and DevOps methodologies.

• Proficient in PostgreSQL, MySQL, DynamoDB, and MongoDB.

• Experience with data pipelines, ETL processes, and tools like Apache Airflow, Spark, or AWS Glue.

• Proficient in Git and best practices for collaborative development.

• Familiarity with project management tools such as Jira or Trello.

• Strong analytical thinking and problem-solving abilities.

• Excellent communication skills for explaining AI models and technical concepts.

• Ability to work effectively in cross-functional teams.

• Willingness to learn and adopt new AI/ML technologies promptly.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and continuous learning.

• Flexible work hours and remote work options.

• Collaborative and innovative work environment.

• Comprehensive health and wellness benefits.