ML Engineer: Build & Deploy AI Solutions

MechaForce; Las Vegas (NV); Sur place; USD 15 000 - 18 000; Plein temps

Avantages offerts par ce poste

Visa sponsorship available

Competitive salary

Résumé du poste

MechaForce is seeking a Machine Learning Engineer for our Las Vegas office to design, implement, and maintain ML models and algorithms. You will extract insights from large datasets, partnering with the data science team to address business problems with ML techniques.

You will train and deploy models using supervised, unsupervised, and deep learning, monitor performance, and stay current with ML advances. The role requires strong Python or R skills and collaboration in a fast-paced environment.

Qualifications

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field.
• Minimum of 2 years of experience as a Machine Learning Engineer or Data Scientist.
• Strong programming skills in Python or R.
• Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
• Knowledge of data mining techniques and statistical analysis.
• Ability to work independently and in a team environment.
• Excellent problem-solving skills.

Responsabilités

• Design, develop, and implement machine learning models and algorithms.
• Collaborate with data scientists to identify business problems solvable with machine learning.
• Clean, preprocess, and analyze large datasets.
• Train models using supervised, unsupervised, and deep learning.
• Deploy trained models into production environments.
• Monitor model performance and improve as needed.
• Stay up-to-date with advances in ML field.

Connaissances

Python

R

scikit-learn

TensorFlow

PyTorch

Data mining

Statistical analysis

Independent work

Teamwork

Formation

Bachelor's or Master's degree

Outils

Hadoop

Spark

AWS

Azure

Description du poste

MechaForce is seeking a Machine Learning Engineer for our Las Vegas office to design, implement, and maintain ML models and algorithms. You will extract insights from large datasets, partnering with the data science team to address business problems with ML techniques.

You will train and deploy models using supervised, unsupervised, and deep learning, monitor performance, and stay current with ML advances. The role requires strong Python or R skills and collaboration in a fast-paced environment.