Overview
Hybrid
Up to $65
Full Time
Skills
Python
Marchine Learning
MLOps
PyTorch
TensorFlow
Docker
Kubernetes
Azure
SQL
Job Details
Key Responsibilities
- Design, develop, and deploy Python-based ML solutions for large-scale data analysis.
- Build ETL/data pipelines to process structured and unstructured datasets.
- Perform exploratory data analysis (EDA), feature engineering, and model evaluation.
- Collaborate with data scientists, analysts, and business teams to translate business problems into technical solutions.
- Optimize models for scalability, performance, and accuracy.
- Mentor junior engineers and review code for quality and best practices.
Required Skills & Experience
- Strong proficiency in Python (Pandas, NumPy, Scikit-learn, FastAPI/Flask).
- Experience with machine learning workflows: data preprocessing, model training, evaluation, and deployment preferably using Microsoft stack Azure ML, Azure Data Factory, Synapse Analytics, and related Microsoft AI/ML tools.
- Knowledge of cloud-based MLOps practices.
- Strong SQL and data modelling skills.
- Experience with deep learning frameworks (PyTorch, TensorFlow) is nice to have.
- Knowledge of containerization (Docker, Kubernetes) is nice to have.
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.