Machine Learning Engineer — Deploy & Optimize AI Solutions

TransaLink; Washington; On-site; USD 16,000 - 19,000; Full time

Benefits offered by this job

Accommodation for foreign employees

Job summary

TransaLink is seeking a Machine Learning Engineer in Washington to develop and deploy ML models across business applications. You will collaborate with data scientists and software engineers to translate concepts into production-ready solutions.

You should have 2+ years in ML, strong Python/R/Java skills, and experience with TensorFlow or PyTorch, plus a solid grounding in data mining, statistics, and deep learning. Independent work and teamwork are valued.

Qualifications

• 2+ years of experience as a Machine Learning Engineer or similar role.
• Strong programming skills in Python, R, or Java.
• Experience with ML libraries such as TensorFlow or PyTorch.
• Knowledge of data mining techniques and statistical analysis.
• Understanding of deep learning algorithms and neural networks.

Responsibilities

• Develop and implement machine learning models and algorithms for various business applications.
• Collaborate with data scientists to analyze large datasets and identify key insights.
• Work closely with software engineers to deploy machine learning solutions into production.
• Continuously monitor and improve the performance of existing machine learning models.
• Stay updated on the latest advancements in the field of machine learning and apply them to our projects.
• Communicate effectively with cross-functional teams to understand business requirements and provide technical expertise.

Skills

Python

R

Java

Machine Learning

Data mining

Statistical analysis

Deep learning

Problem solving

Teamwork

Independence

Education

Bachelors or Masters degree in Computer Science Mathematics or related field

Tools

TensorFlow

PyTorch

SQL

NoSQL

Job description

TransaLink is seeking a Machine Learning Engineer in Washington to develop and deploy ML models across business applications. You will collaborate with data scientists and software engineers to translate concepts into production-ready solutions.

You should have 2+ years in ML, strong Python/R/Java skills, and experience with TensorFlow or PyTorch, plus a solid grounding in data mining, statistics, and deep learning. Independent work and teamwork are valued.