Python Backend Developer (AWS, Machine Learning)
CIeNET Technologies
Job Overview
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Job Description
Job Overview
We are seeking a Python Backend Developer with hands-on AWS experience and exposure to machine learning projects (e.g., training/inference with scikit-learn or Pandas). You will collaborate with data scientists, focusing on deploying machine learning models on AWS and building data-driven tools. Your primary responsibilities include creating data pipelines (using technologies like S3, Glue, Lambda), deploying models via Docker container-based FastAPI/Flask services, and building data dashboards with Dash or Plotly. Additionally, you will automate workflows using Step Functions and EventBridge, and monitor system health with CloudWatch.
Key Responsibilities
- Collaborate with data scientists to deploy machine learning models on AWS.
- Build robust data pipelines utilizing AWS services such as S3, Glue, and Lambda.
- Deploy models using Docker container-based FastAPI/Flask services.
- Develop data dashboards with Dash, Plotly, or similar visualization frameworks.
- Automate workflows using AWS Step Functions and EventBridge.
- Monitor system runtime status and performance with CloudWatch.
- Design and implement modular code structures for internal tools and APIs.
Requirements
Python Data Processing & Machine Learning Skills:
- Proficiency in NumPy, SciPy, Pandas, and scikit-learn.
- Ability to write clean, production-ready code for model training, inference, and experimentation.
AWS Platform Experience:
- Experience deploying and maintaining workloads on AWS (EC2, ECS/EKS, Lambda, S3, CloudWatch, IAM, etc.).
- Capable of building robust data pipelines using S3, Glue, Athena, Step Functions, EventBridge.
Containerization Expertise:
- Familiarity with Docker, Docker Compose; knowledge of Kubernetes is a plus.
Python Application Development Skills:
- Ability to build small to medium-sized internal tools and dashboards using:
- Flask or FastAPI frameworks.
- Dash, Plotly, or similar visualization frameworks.
- Proficiency in designing modular code structures, handling routing, authentication, and REST APIs.
Key skills/competency
- Python
- AWS
- Machine Learning
- Data Pipelines
- Docker
- FastAPI
- Flask
- S3
- Lambda
- CloudWatch
- NumPy
- Pandas
- scikit-learn
- Dash
- Plotly
- REST API
How to Get Hired at CIeNET Technologies
- Research CIeNET's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for CIeNET: Highlight your Python, AWS, machine learning, and data pipeline expertise relevant to the Python Backend Developer role.
- Showcase practical AWS and ML projects: Provide concrete examples of deploying models, building data pipelines, and developing containerized applications.
- Prepare for technical interviews: Expect questions on Python development, AWS services (S3, Glue, Lambda), Docker, and machine learning deployment strategies.
- Demonstrate problem-solving and collaboration skills: Be ready to discuss how you've worked with data scientists and resolved complex technical challenges in past roles.
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