Python Machine Learning Engineer

Valiant Technologies LLC

Atlanta (GA)

On-site

USD 120,000 - 180,000

Full time

Just now
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Job summary

Valiant Technologies LLC is seeking an experienced Python Machine Learning Engineer to develop, train, and deploy intelligent ML models and AI-powered applications. You will implement ML models using Python, build predictive solutions, and work with supervised and unsupervised learning algorithms.

Proficiency in Scikit-learn, TensorFlow and PyTorch is required, along with data preprocessing, feature engineering, and model evaluation.

Qualifications

  • Proficient in Python for ML development and deployment.
  • Strong background in ML/DL and data science concepts.
  • Experience building predictive models and data-driven solutions.
  • Familiarity with supervised and unsupervised learning approaches.
  • Experience using Scikit-learn, TensorFlow and PyTorch.
  • Data preprocessing, feature engineering and model evaluation.

Responsibilities

  • Develop ML models and pipelines using Python.
  • Preprocess data and engineer features to improve model performance.
  • Evaluate models and optimize accuracy and scalability.
  • Deploy ML models via REST APIs and cloud platforms.

Skills

Python
Machine Learning
Deep Learning
Data Science

Tools

Scikit-learn
TensorFlow
PyTorch
REST APIs
Cloud platforms

Job description

We are looking for an experienced Python Machine Learning Engineer with strong expertise in Python, Machine Learning, Deep Learning, and data science to develop, train, and deploy intelligent ML models and AI-powered applications.

Develop and implement Machine Learning models using Python.

Build predictive models and data-driven solutions.

Work with supervised and unsupervised learning algorithms.

Develop ML solutions using Scikit-learn, TensorFlow, and PyTorch.

Perform data preprocessing, feature engineering, and model evaluation.

Analyze large datasets using Pandas and NumPy.

Optimize model accuracy, performance, and scalability.

Deploy ML models using REST APIs and cloud platforms.

Collaborate with data scientists and engineering teams.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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