Community

Home >

Jobs >

Mid Level Python Developer with DevOps Expertise

Punjab, Pakistan (On-site)

Mid Level Python Developer with DevOps Expertise

6 Days ago • 5-8 Years • DevOps

About the job

13 skills required for this role

Test your skills to join the top 1% applicants for this job

tensorflow

ci-cd

kubernetes

azure

aws

python

docker

pytorch

scikit-learn

model-deployment

data-science

communication

reproducibility

Job Description

CodeNinja seeks a Mid-Level Python Developer with DevOps expertise and ML/Ops experience. Responsibilities include developing and maintaining Python-based ML applications, deploying models to production using CI/CD, collaborating with data scientists, monitoring model performance, managing cloud infrastructure (AWS/Azure), automating deployment processes, and establishing best practices for ML model reliability. The ideal candidate will bridge the gap between data science and operations, ensuring seamless ML solution integration and deployment.

Must have:

5-8 years Python development experience
Strong DevOps understanding (ML/Ops)
Production ML model deployment experience
Cloud platform (AWS/Azure) and CI/CD expertise
Containerization (Docker, Kubernetes) knowledge
ML frameworks (TensorFlow, PyTorch, Scikit-learn)
Strong problem-solving & teamwork skills

Good to have:

Experience with ML monitoring and logging tools
Data pipeline management and orchestration
ML model versioning and governance

Perks:

Provident Fund
Gym Membership
Company-paid trips
Easy Loan Facility
Yearly increment
Health Insurance (spouse & parents till 80)

Not hearing back from companies?

Unlock the secrets to a successful job application and accelerate your journey to your next opportunity.

Description

Job Overview:

CodeNinja is looking for a Mid Level Python Developer with a strong background in DevOps and expertise in Machine Learning Operations (ML/Ops). The ideal candidate will play a key role in deploying, managing, and optimizing machine learning models in production. You will be responsible for bridging the gap between data science and operations, ensuring seamless integration and deployment of ML solutions.

Key Responsibilities:

Develop and maintain Python-based ML applications, ensuring they are robust and scalable.
Deploy machine learning models into production environments, utilizing CI/CD practices.
Collaborate with data scientists and engineers to streamline deployment pipelines in ML/Ops.
Monitor and optimize the performance of deployed models, implementing necessary updates and improvements.
Implement and manage cloud infrastructure for ML projects, leveraging platforms like AWS or Azure.
Automate deployment processes, ensuring repeatability and efficiency.
Participate in setting best practices for ML model reliability, reproducibility, and monitoring.

Requirements

5-8 years of professional experience in Python development.
Strong understanding of DevOps principles, especially in the context of ML/Ops.
Experience in deploying and managing machine learning models in production.
Hands-on experience with cloud platforms (AWS, Azure, GCP) and CI/CD tools.
Knowledge of containerization technologies (Docker, Kubernetes) for ML model deployment.
Familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Strong problem-solving skills with the ability to work autonomously and in a team.
Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders.

Preferred Qualifications: