What are the responsibilities and job description for the ML Data Scientist ( Python ) position at Jobs via Dice?
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Greetings,
Position: Python Developer ( AI/ML )
Location: Phoenix, AZ ( onsite 5 days a week ) Local is highly preferred.
Duration: 3 Months Contract
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.
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.
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.
Thanks and Regards,
Naveen
US IT Recruiter
Conch Technologies Inc,
Email:
Greetings,
Position: Python Developer ( AI/ML )
Location: Phoenix, AZ ( onsite 5 days a week ) Local is highly preferred.
Duration: 3 Months Contract
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.
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.
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.
Thanks and Regards,
Naveen
US IT Recruiter
Conch Technologies Inc,
Email: