Machine Learning Engineer

SteelAxis; Washington; On-site; USD 11,000 - 15,000; Part time

Job summary

SteelAxis in Washington is seeking a skilled Machine Learning Engineer to design, test, and deploy machine learning models and algorithms to solve complex problems for clients. You will work closely with data scientists and software engineers to design and implement scalable solutions for client projects. Salary: $1200 per month.

Location: Washington. Employment Type: Part-time 20 hours per week with potential for full-time.

Qualifications

• Bachelor's or Master's degree in Computer Science, Mathematics or related field.
• Proven experience as a Machine Learning Engineer or similar role.
• Strong programming skills in Python, Java, or other relevant languages.
• Experience with ML frameworks such as TensorFlow, Keras or PyTorch.
• Knowledge of data preprocessing techniques and feature engineering.
• Familiarity with cloud platforms such as AWS or Azure.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently as well as in a team environment.

Responsibilities

• Design, develop, test and deploy machine learning models and algorithms.
• Collaborate with data scientists to preprocess data and engineer features.
• Work closely with software engineers to integrate models into production systems.
• Conduct experiments to evaluate the performance of different algorithms and models.
• Debug and troubleshoot issues with existing models and algorithms.
• Stay updated on the latest advancements in ML techniques and technologies.

Skills

Python

Java

TensorFlow

Keras

PyTorch

Data preprocessing

Feature engineering

Cloud AWS

Cloud Azure

Problem-solving

Teamwork

Education

Bachelor's or Master's degree in CS/Math/related field

Job description

We are in search of a highly skilled Machine Learning Engineer to join our team in Washington As a Machine Learning Engineer you will be responsible for developing testing and implementing machine learning algorithms and models to solve complex problems You will work closely with data scientists and software engineers to design and implement scalable solutions for our clients

Responsibilities

• Design develop test and deploy machine learning models and algorithms
• Collaborate with data scientists to preprocess data and engineer features
• Work closely with software engineers to integrate machine learning models into production systems
• Conduct experiments to evaluate the performance of different algorithms and models
• Debug and troubleshoot issues with existing models and algorithms
• Stay updated on the latest advancements in machine learning techniques and technologies

Requirements

• Bachelors or Masters degree in Computer Science Mathematics or related field
• Proven experience as a Machine Learning Engineer or similar role
• Strong programming skills in Python Java or other relevant languages
• Experience with machine learning frameworks such as TensorFlow Keras or PyTorch
• Knowledge of data preprocessing techniques and feature engineering
• Familiarity with cloud computing platforms such as AWS or Azure
• Excellent problem-solving skills and attention to detail
• Ability to work independently as well as in a team environment

Salary $1200 per month

Location Washington candidates from India preferred

Employment Type Part-time 20 hours per week with possibility for full-time employment

Accommodation Accommodation may be provided for candidates relocating from India