Senior ML Engineer: Lead Scalable AI Solutions

Work in USA; Washington; On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Free visa sponsorship

Air ticket

Job summary

Work in USA is seeking a Senior Machine Learning Engineer in Washington, USA to design and implement cutting-edge ML models that solve real-world problems across industries. You will build scalable pipelines and collaborate with cross-functional teams to translate business needs into technical solutions.

The ideal candidate has 5+ years of ML experience, strong Python/R/Java skills, and proficiency with TensorFlow, PyTorch, or scikit-learn.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science or related field.
• 5+ years of experience developing ML models and algorithms.
• Strong programming in Python, R or Java.
• Experience with ML frameworks such as TensorFlow, PyTorch or scikit-learn.
• Solid understanding of statistical concepts for predictive modeling.

Responsibilities

• Design and implement machine learning models and algorithms to solve real-world problems.
• Collaborate with cross-functional teams to identify business needs and translate them into technical solutions.
• Conduct data analysis and preprocessing to ensure data quality and accuracy.
• Build scalable machine learning pipelines for efficient model training and deployment.
• Stay updated with the latest advancements and apply them to improve models.
• Mentor junior team members and provide technical guidance when needed.

Skills

Python

R

Java

Communication

Education

Bachelor's/Master's in CS or DS

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Work in USA is seeking a Senior Machine Learning Engineer in Washington, USA to design and implement cutting-edge ML models that solve real-world problems across industries. You will build scalable pipelines and collaborate with cross-functional teams to translate business needs into technical solutions.

The ideal candidate has 5+ years of ML experience, strong Python/R/Java skills, and proficiency with TensorFlow, PyTorch, or scikit-learn.