Overview
On Site
Hybrid
$50 - $60
Contract - W2
Contract - 12 Month(s)
50% Travel
Skills
Artificial Intelligence
EDA
Data Analysis
Data Modeling
Deep Learning
Docker
Evaluation
Machine Learning Operations (ML Ops)
Mentorship
Scalability
SQL
Python
PyTorch
Machine Learning (ML)
Microsoft Azure
Kubernetes
Extract
Transform
Load
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.