Machine Learning Engineer
Job Title: Machine Learning Engineer / Software Developer
Location: Austin TX
Duration: 12 months
Only W2 and local Candidates/ No C2C
Day-to-day, you will:
We are seeking a highly skilled and experienced Machine Learning engineer/software developer with a strong background in data science. The ideal candidate will have a minimum of 5 years of experience in machine learning and be an expert in Python programming.
Responsibilities:
Designing and developing machine learning systems and predictive models.
Running machine learning tests and experiments.
Implementing appropriate ML algorithms.
Studying and transforming data science prototypes.
Selecting appropriate datasets and data representation methods.
Performing statistical analysis and fine-tuning using test results.
Build, deploy, and optimize machine learning models for predictive analytics, risk assessment, operational improvements and into production.
Design, develop, and maintain scalable data pipelines, ETL processes, and data infrastructure, with a focus on Databricks for data processing and analytics.
Drive code reviews to ensure code quality, maintainability, and adherence to coding standards.
Extending existing ML libraries and frameworks.
Keeping abreast of developments in the field.
Requirements:
Proven experience as a Machine Learning Engineer or similar role with a minimum of 5 years of experience in machine learning.
Minimum of 5+ years of experience in programming with Python.
Understanding of data structures, data modeling and software architecture.
Strong understanding of machine learning techniques and algorithms, data mining, and statistical analysis.
Proficiency with SQL,TensorFlow, PyTorch, Pandas, Keras and related libraries
Experience with cloud platform: Azure and Databrick.
Ability to work as part of a team and independently.
8 BS in Computer Science, Mathematics, Statistics, or similar field; Master’s degree is a plus.
