Machine Learning Engineer

Guardian Secure Services

Washington

On-site

USD 12,276 - 16,740

Part time

14 days+

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Benefits offered by this job

Visa sponsorship

Job summary

Guardian Secure Services is hiring a highly skilled Machine Learning Engineer in Washington to develop, implement, and maintain ML models for diverse projects. You will collaborate with data scientists, software engineers, and other teammates to translate business needs into scalable solutions.

The role uses Python or R with TensorFlow, Keras, or PyTorch; evaluate models with robust metrics and iterate. Part-time role with visa sponsorship.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Minimum of 2 years of experience as a Machine Learning Engineer or similar role.
  • Strong knowledge of ML algorithms (regression, classification, clustering, etc.).
  • Proficiency in Python or R.
  • Experience with ML libraries/frameworks: TensorFlow, Keras, PyTorch.
  • Familiarity with data visualization tools: Tableau or Power BI.
  • Ability to work independently and in a fast-paced environment.

Responsibilities

  • Develop and implement ML algorithms for predictive modeling, NLP, CV, and other applications.
  • Conduct data analysis and preprocessing to prepare data for model training.
  • Collaborate with cross-functional teams to identify business needs and design solutions.
  • Use Python or R to build efficient and scalable ML models.
  • Evaluate model performance using appropriate metrics and fine-tune as needed.
  • Stay updated with the latest ML techniques and technologies.

Skills

Python
R
ML algorithms
Data preprocessing
Data visualization

Education

Bachelor's or Master's in Computer Science or Data Science

Tools

TensorFlow
Keras
PyTorch
Tableau
Power BI

Job description

We are hiring a highly skilled and innovative Machine Learning Engineer to join our team in Washington In this role you will be responsible for developing implementing and maintaining machine learning algorithms and models for various projects You will work closely with data scientists software engineers and other team members to identify business needs and develop solutions using machine learning techniques

Responsibilities
  • Develop and implement machine learning algorithms for predictive modeling natural language processing computer vision and other applications
  • Conduct data analysis and preprocessing to prepare data for model training
  • Collaborate with cross-functional teams to identify business needs and design solutions
  • Utilize programming languages such as Python or R to build efficient and scalable machine learning models
  • Evaluate the performance of models using appropriate metrics and fine-tune them as needed
  • Stay updated with the latest advancements in machine learning techniques and technologies
Requirements
  • Bachelors or Masters degree in Computer Science Data Science or a related field
  • Minimum of 2 years of experience working as a Machine Learning Engineer or similar role
  • Strong knowledge of machine learning algorithms such as regression classification clustering etc
  • Proficiency in programming languages such as Python or R
  • Experience with machine learning libraries/frameworks like TensorFlow Keras or PyTorch
  • Familiarity with data visualization tools such as Tableau or Power BI
  • Ability to work independently as well as collaboratively in a fast-paced environment

Salary $1300 per month

Location Washington

Preference given to Malayalees

Note This is a part-time job opportunity suitable for English-speaking individuals without prior experience

Visa sponsorship is available

We encourage women to apply for this position

If you are passionate about solving complex problems using machine learning techniques and possess the required skills and qualifications we would love to hear from you

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