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Machine Learning Engineer

This role is for a “Machine Learning Engineer” in Austin, TX, lasting 12 months with a pay rate of “unknown.” Candidates must have 5+ years of experience in machine learning and Python, along with expertise in SQL, TensorFlow, and Azure.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
400
🗓️ - Date discovered
February 19, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Austin, TX
🧠 - Skills detailed
#Databricks #Mathematics #Data Mining #Code Reviews #Data Science #Computer Science #Programming #Scala #Azure #SQL (Structured Query Language) #Datasets #TensorFlow #Keras #Data Modeling #Pandas #Statistics #AI (Artificial Intelligence) #Libraries #Data Processing #ML (Machine Learning) #Cloud #Data Pipeline #"ETL (Extract #Transform #Load)" #Python #PyTorch
Role description
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For over 15 years, Trilyon has been at the forefront of providing comprehensive global workforce solutions and staffing services. Leveraging our extensive expertise across multiple domains such as Cloud technology, Salesforce, AI, Machine Learning, and Technical Writing, we consistently exceed expectations in catering to a wide range of requirements.

We are seeking a “Machine Learning Engineer” for one of our Semiconductor clients. According to your profile, this looks like a good match, and I urge you to explore it.

I've included the job description below. Please let me know the best time to discuss this opportunity over the phone.

Job Description:

Position: Machine Learning Engineer

Duration: 12 months (possible extension)

Location: Austin TX (Onsite)

Job Description:

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:

  1. Designing and developing machine learning systems and predictive models.

  2. Running machine learning tests and experiments.

  3. Implementing appropriate ML algorithms.

  4. Studying and transforming data science prototypes.

  5. Selecting appropriate datasets and data representation methods.

  6. Performing statistical analysis and fine-tuning using test results.

  7. Build, deploy, and optimize machine learning models for predictive analytics, risk assessment, operational improvements and into production.

  8. Design, develop, and maintain scalable data pipelines, ETL processes, and data infrastructure, with a focus on Databricks for data processing and analytics.

  9. Drive code reviews to ensure code quality, maintainability, and adherence to coding standards.

  10. Extending existing ML libraries and frameworks.

  11. Keeping abreast of developments in the field.

Requirements:

  1. Proven experience as a Machine Learning Engineer or similar role with a minimum of 5 years of experience in machine learning.

  2. Minimum of 5+ years of experience in programming with Python.

  3. Understanding of data structures, data modeling and software architecture.

  4. Strong understanding of machine learning techniques and algorithms, data mining, and statistical analysis.

  5. Proficiency with SQL,TensorFlow, PyTorch, Pandas, Keras and related libraries

  6. Experience with cloud platform: Azure and Databrick.

  7. Strong analytical, problem-solving, and communication skills.

  8. Ability to work as part of a team and independently.

  9. Outstanding analytical and problem-solving skills.

  10. BS in Computer Science, Mathematics, Statistics, or similar field; Master’s degree is a plus.

EEO: Trilyon is an Equal Opportunity Employer, committed to fairness and respect for all individuals. We value diversity in age, disability, ethnicity, gender, gender identity, religion, and sexual orientation, believing it drives innovation and better service. Employment decisions are made impartially, without regard to any protected characteristic under federal, state, or local law. Our diverse team drives innovation, competitiveness, and creativity, enhancing our ability to effectively serve our clients and communities. This commitment to diversity makes us stronger and more adaptable.