Machine Learning Engineer

CloudHire; Washington; On-site; USD 10,155 - 12,164; Part time

Job summary

CloudHire is seeking a highly skilled Machine Learning Engineer to join our team in Washington. This is a part-time position with a salary of $1,000 per month. You will be responsible for designing, developing, and implementing machine learning algorithms and models, collaborating closely with data scientists and software engineers.

The ideal candidate will hold a Bachelor's or Master’s degree in a related field and possess strong knowledge of machine learning techniques including deep learning and analytics.

Qualifications

• Strong knowledge of machine learning techniques such as regression, clustering, classification, and neural networks.
• Proficiency in programming languages such as Python and R.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.

Responsibilities

• Develop machine learning algorithms and models to solve complex business problems.
• Collaborate with data scientists to gather requirements and understand project goals.
• Build scalable solutions for large datasets using distributed computing frameworks like Spark or Dask.

Skills

Machine learning techniques

Deep learning

Data analytics

Python

R

TensorFlow

PyTorch

SQL

Hadoop

Git

Education

Bachelor's or Master’s degree in Computer Science, Mathematics, or a related field

Tools

TensorFlow

PyTorch

SQL

Hadoop

Git

Job description

Machine Learning Engineer

We are seeking a highly skilled Machine Learning Engineer to join our team in Washington. This is a part‑time position with a salary of $1,000 per month.

As a Machine Learning Engineer you will be responsible for designing, developing and implementing machine learning algorithms and models. You will work closely with data scientists and software engineers to integrate these models into our products and systems. The ideal candidate will have a strong background in machine learning, deep learning, and data analytics.

Requirements

• Bachelor's or Master’s degree in Computer Science, Mathematics, or a related field
• Strong knowledge of machine learning techniques such as regression, clustering, classification, and neural networks
• Proficiency in programming languages such as Python and R
• Experience with machine learning frameworks such as TensorFlow or PyTorch
• Knowledge of data processing tools like SQL and Hadoop
• Familiarity with version control systems such as Git
• Excellent problem‑solving skills and attention to detail
• Good communication skills in English

Responsibilities

• Develop machine learning algorithms and models to solve complex business problems
• Collaborate with data scientists to gather requirements and understand project goals
• Build scalable solutions for large datasets using distributed computing frameworks like Spark or Dask
• Write efficient code that can run on both CPU and GPU architectures
• Integrate machine learning models into production systems using REST APIs or microservices architecture
• Test and evaluate the performance of the models on real‑world data sets
• Keep up to date with the latest advancements in the field of machine learning and implement them where applicable

Preferences

Preference will be given to candidates who have experience working on projects related to natural language processing (NLP), computer vision, or time series analysis.

Accommodation Statement

Our company does not provide accommodation, but we are happy to assist with the process of obtaining a biometric passport for international candidates.

This is a great opportunity for someone passionate about artificial intelligence and looking to gain hands‑on experience in the field. If you have a strong background in machine learning and are looking for a challenging role we would love to hear from you.