Overview
On Site
Contract - W2
Contract - 12
Skills
Python Developer ( AI/ML )
Job Details
Greetings, NO H1s please
Position: Python Developer ( AI/ML )
Location: Phoenix, AZ ( onsite 5 days a week ) Local is highly preferred.
Duration: 3+ Months Contract
Years of exp: 3+ Years
Note: The person we had for this role was a ML/DS teacher and was teaching at a university, so a ML engineer who is junior works or someone similar.
Key Responsibilities:
Develop and maintain Python-based services and APIs for AI/ML applications.
Collaborate with data teams to integrate and optimize machine learning models.
Write clean, efficient, and well-tested code for production environments.
Support data processing, model deployment, and monitoring workflows.
Contribute to continuous improvement in code quality, scalability, and performance.
Develop and maintain Python-based services and APIs for AI/ML applications.
Collaborate with data teams to integrate and optimize machine learning models.
Write clean, efficient, and well-tested code for production environments.
Support data processing, model deployment, and monitoring workflows.
Contribute to continuous improvement in code quality, scalability, and performance.
Requirements:
3 5 years of hands-on experience in Python development.
Hands-on experience with SQL.
Familiarity with ML frameworks (e.g., scikit-learn, TensorFlow, or PyTorch).
Understanding and real-world working experience of REST APIs, Git, and basic cloud concepts (AWS/Google Cloud Platform/Azure).
Experience with data handling libraries like Pandas and NumPy.
Strong problem-solving mindset and eagerness to learn AI/ML integration.
3 5 years of hands-on experience in Python development.
Hands-on experience with SQL.
Familiarity with ML frameworks (e.g., scikit-learn, TensorFlow, or PyTorch).
Understanding and real-world working experience of REST APIs, Git, and basic cloud concepts (AWS/Google Cloud Platform/Azure).
Experience with data handling libraries like Pandas and NumPy.
Strong problem-solving mindset and eagerness to learn AI/ML integration.
Nice to Have:
Exposure to deploying or supporting AI models in production.
Knowledge of containerization (Docker) or CI/CD pipelines.
Interest in LLMs, NLP, or other emerging AI technologies.
Exposure to deploying or supporting AI models in production.
Knowledge of containerization (Docker) or CI/CD pipelines.
Interest in LLMs, NLP, or other emerging AI technologies.
With Regards,
Nagesh G
Desk:
Email:
Web:
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.