Machine Learning Engineer

UrbanLogic; Norge (OK); On-site; USD 15,000 - 18,000; Full time

Benefits offered by this job

Free visa sponsorship

Flight ticket on joining

Growth opportunities

Job summary

UrbanLogic in the United States is seeking a highly skilled Machine Learning Engineer to develop and implement ML models and end-to-end pipelines that drive data-driven decisions. You will work closely with cross-functional teams to design, develop and deploy ML solutions that have real business impact.

You will collaborate with data scientists, software engineers, and product managers to translate business needs into technical requirements, perform feature engineering, and monitor model

Qualifications

• Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics or related field.
• 2+ years of experience in developing machine learning models using Python or R.
• Strong understanding of statistical modeling concepts such as regression analysis, clustering techniques, time series forecasting, etc.
• Experience with popular ML libraries such as scikit-learn, TensorFlow, or PyTorch.
• Familiarity with relational databases SQL and programming languages Java/C++ is a plus.

Responsibilities

• Develop and implement machine learning models and algorithms for data analysis and prediction.
• Collaborate with data scientists, software engineers, and product managers to understand business needs and translate them into technical requirements.
• Perform exploratory data analysis, feature engineering and selection to improve model performance.
• Build end-to-end machine learning pipelines for data processing, model training, evaluation, deployment and monitoring.
• Continuously evaluate and improve the performance of existing models by incorporating new techniques or updating existing ones.
• Communicate results and insights from machine learning experiments to stakeholders.

Skills

Python

R

Statistics

Model deployment

Independent / collaborative work

Education

Bachelor's or Master's degree in Computer Science / ML / Statistics or related field

Tools

scikit-learn

TensorFlow

PyTorch

SQL

Java

C++

Job description

We are seeking a highly skilled and motivated Machine Learning Engineer to join our team in the United States In this role you will be responsible for developing and implementing machine learning models and algorithms to solve complex data problems You will work closely with cross-functional teams to design develop and deploy machine learning solutions that will drive business growth and innovation

Responsibilities

• Develop and implement machine learning models and algorithms for data analysis and prediction
• Collaborate with data scientists software engineers and product managers to understand business needs and translate them into technical requirements
• Perform exploratory data analysis feature engineering and selection to improve model performance
• Build end-to-end machine learning pipelines for data processing model training evaluation deployment and monitoring
• Continuously evaluate and improve the performance of existing models by incorporating new techniques or updating existing ones
• Communicate results and insights from machine learning experiments to stakeholders

Requirements

• Bachelors or Masters degree in Computer Science Machine Learning Statistics or related field
• 2+ years of experience in developing machine learning models using Python or R
• Strong understanding of statistical modeling concepts such as regression analysis clustering techniques time series forecasting etc
• Experience with popular machine learning libraries such as scikit-learn TensorFlow or PyTorch
• Familiarity with relational databases SQL and programming languages JavaC++ is a plus
• Ability to work independently as well as collaboratively in a fast-paced environment

Salary $1500 per month

Location United States

Employment Type Full-time

Benefits

• Free visa sponsorship for international candidates
• Complimentary flight ticket upon joining
• Competitive salary package with opportunities for growth within the company

Join our dynamic team of experts in the exciting field of Machine Learning