Sr. Machine Learning Engineer

Austin, TX, US • Posted 17 hours ago • Updated 15 hours ago
Full Time
Travel Required
On-site
Up to $140,000/yr
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Dice Job Match Score™

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Job Details

Skills

  • Machine Learning and Python

Summary

 

Don''''''''t apply OPT holder, please


Machine Learning Engineer Responsibilities

  • Design, develop, train, and deploy machine learning models to solve business problems.
  • Build and maintain scalable data pipelines for collecting, processing, and transforming large datasets.
  • Perform feature engineering, data preprocessing, and exploratory data analysis.
  • Evaluate and optimize model performance using appropriate metrics and validation techniques.
  • Implement and fine-tune algorithms using frameworks such as PyTorch, TensorFlow, and Scikit-learn.
  • Develop and maintain production-ready ML solutions and APIs.
  • Collaborate with data scientists, data engineers, software developers, and business stakeholders to translate requirements into AI-driven solutions.
  • Monitor deployed models, identify performance degradation, and retrain models as needed.
  • Apply statistical analysis and mathematical modeling techniques to derive insights and improve predictions.
  • Automate model training, testing, and deployment processes using MLOps practices and CI/CD pipelines.
  • Work with cloud platforms such as AWS, Azure, or Google Cloud Platform to build and manage ML infrastructure.
  • Utilize distributed computing and big data technologies such as Spark, Databricks, and Hadoop for large-scale model training.
  • Develop and optimize SQL queries for extracting and analyzing structured data.
  • Create clear technical documentation, model reports, and presentations for stakeholders.
  • Ensure model governance, data quality, security, and compliance with organizational standards.
  • Research and evaluate new machine learning techniques, tools, and emerging AI technologies.

Key Skills Commonly Required

  • Python, SQL
  • PyTorch, TensorFlow, Scikit-learn
  • Pandas, NumPy, Jupyter Notebook
  • Statistics and Probability
  • Feature Engineering and Model Evaluation
  • Deep Learning, NLP, Computer Vision (depending on the role)
  • MLOps, Docker, Kubernetes, MLflow
  • Cloud Platforms (AWS, Azure, Google Cloud Platform)
  • Spark, Databricks, Hadoop
  • Git, CI/CD pipelines
  • Data Modeling and Data Engineering concepts
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.
  • Dice Id: 10411276
  • Position Id: 9007457
  • Posted 17 hours ago

Company Info

About K-Tek Resourcing LLC

Vision

To be a trusted partner and advisor to our customers

Mission

At K-Tek we believe in understanding the specific needs of the customer and tailor-creating innovative solutions to meet these needs. We invest in our employees and customers. We build a relation of trust with our customers through empathy, solutions and being the first time right.

Who We Are & What We Do

K-Tek Resourcing is a consulting organization with offices in Houston TX and St. Paul, MN. It is supported by 2 global delivery centers, located in India. With its global employee strength of over 250, K-Tek has been supporting its clients for over 9 years. We have been consistently achieving a growth of 30% Year on Year. We have an extensive experience of working in domains including BFSI, Retail, Healthcare and Pharma, Oil & Gas, Travel & Hospitality and Insurance. The technologies we service are IT Infrastructure, Mobile Technologies, Cloud & Big Data Solutions. We understand the needs of our customers and provide them with customized solutions and resources with the tenet of being the "First Time Right".

Values

-Commitment to our customers success through Integrity

-Excellence through Quality

-Growth through customer value creation

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Sagar Sahu

Recruiter @ K-Tek Resourcing LLC
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