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Machine Learning Engineer

Job in Austin, Travis County, Texas, 78716, USA
Listing for: TPI Global Solutions
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, AI Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

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.
  • Parsing unstructured data into structural format.
  • 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.
  • Proven minimum 5+ years of data mining.
  • Minimum of 5+ years of experience in programming with Python.
  • Extensive experience in parsing unstructured data into structural form.
  • 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,Tensor Flow, PyTorch, Pandas, Keras and related libraries
  • Experience with cloud platform:
    Azure and Databrick.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work as part of a team and independently.
  • Outstanding analytical and problem-solving skills.
  • BS in Computer Science, Mathematics, Statistics, or similar field;
    Master’s degree is a plus.
  • #J-18808-Ljbffr
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