Senior Python Engineer with Machine Learning

micro1; Austin (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

A technology company is looking for a Senior Python Engineer specializing in Machine Learning and Data Analysis. This role involves designing and deploying ML solutions, building data pipelines, and collaborating with data scientists to drive impactful solutions. Candidates should have strong Python skills and experience with cloud-based MLOps. The position offers an opportunity to mentor junior engineers and contribute to advanced data analysis projects.

Qualifications

• Strong proficiency in Python, including libraries like Pandas, NumPy, Scikit-learn.
• Experience with ETL/data pipelines and cloud-based MLOps.
• Good understanding of deep learning frameworks such as PyTorch or TensorFlow is a plus.

Responsibilities

• Design, develop, and deploy Python-based ML solutions.
• Build ETL/data pipelines for data processing.
• Collaborate with data teams to solve business problems.

Skills

Python proficiency

Machine learning workflows

SQL skills

Data modeling

Tools

Azure ML

Azure Data Factory

Synapse Analytics

Docker

Kubernetes

Job description

Job Description

Must Have: Python ML- Senior Python Engineer – Machine Learning & Data Analysis

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.