Associate ML Engineer: Build & Deploy AI Models

Virtusa

New York (NY)

On-site

USD 120,000 - 180,000

Full time

8 days ago

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Job summary

Virtusa in New York, NY is seeking an ML Engineer to design, develop, and deploy machine learning models that drive business solutions. You will work with data scientists and software engineers to implement scalable ML systems.

The role requires 2-5 years of experience in ML, strong knowledge of AI concepts, Python/R, and proficiency with TensorFlow, PyTorch, and Scikit-learn. Familiarity with cloud platforms and data mining techniques is a plus.

Qualifications

  • 2-5 years of experience in machine learning or related roles.
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Proven track record of deploying ML models in production.

Responsibilities

  • Design and implement machine learning algorithms and models to solve complex business problems.
  • Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
  • Optimize and fine-tune existing models for improved performance and accuracy.
  • Conduct data preprocessing and feature engineering to enhance model effectiveness.
  • Monitor and maintain deployed models, ensuring they perform as expected in production environments.
  • Stay updated with the latest trends and advancements in AI and ML technologies.

Skills

AI/ML concepts
Python
R
ML libraries
Cloud platforms
Data mining

Education

Bachelor's or Master's in Computer Science/ Data Science

Tools

TensorFlow
PyTorch
Scikit-learn
AWS

Job description

Virtusa in New York, NY is seeking an ML Engineer to design, develop, and deploy machine learning models that drive business solutions. You will work with data scientists and software engineers to implement scalable ML systems.

The role requires 2-5 years of experience in ML, strong knowledge of AI concepts, Python/R, and proficiency with TensorFlow, PyTorch, and Scikit-learn. Familiarity with cloud platforms and data mining techniques is a plus.

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