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Machine Learning Engineer

Remote in New York, NY, US • Posted 2 hours ago • Updated 2 hours ago

Full Time

On-site

Fitment

Dice Job Match Score™

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Job Details

Skills

Innovation
Collaboration
Software Development
Documentation
Computer Science
Mathematics
Data Science
Artificial Intelligence
Python
R
Programming Languages
TensorFlow
PyTorch
scikit-learn
Data Structure
Algorithms
Statistical Models
Cloud Computing
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Problem Solving
Conflict Resolution
Communication
Deep Learning
Natural Language Processing
DevOps
Machine Learning (ML)
Docker
Kubernetes
Insurance
Professional Development

Innovation
Collaboration
Software Development
Documentation
Computer Science
Mathematics
Data Science
Artificial Intelligence
Python
R
Programming Languages
TensorFlow
PyTorch
scikit-learn
Data Structure
Algorithms
Statistical Models
Cloud Computing
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Problem Solving
Conflict Resolution
Communication
Deep Learning
Natural Language Processing
DevOps
Machine Learning (ML)
Docker
Kubernetes
Insurance
Professional Development

Summary

Job Description
Job Overview:

We are seeking a skilled Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models to solve real-world problems. You will work closely with data scientists, software engineers, and business stakeholders to implement advanced machine learning solutions and drive innovation within the company.

Key Responsibilities:

Design and develop scalable machine learning models and algorithms.
Collaborate with cross-functional teams to integrate machine learning models into production systems.
Analyze large datasets to extract actionable insights and identify patterns.
Tune and optimize machine learning models for performance and accuracy.
Stay current with the latest advancements in AI and machine learning technologies.
Work with software development teams to ensure models are deployed efficiently and effectively.
Develop and maintain documentation for models, algorithms, and tools used.

Requirements

Bachelor's or Master's degree in Computer Science, Mathematics, or related field.
Proven experience in machine learning, data science, and AI technologies.
Proficiency in Python, R, or other programming languages used in machine learning.
Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Strong understanding of data structures, algorithms, and statistical modeling.
Familiarity with cloud platforms (AWS, Google Cloud Platform, Azure) for deploying machine learning models.
Excellent problem-solving skills and the ability to work independently or in a team.
Strong communication skills to explain technical concepts to non-technical stakeholders.

Preferred:

Experience with deep learning techniques and natural language processing (NLP).
Prior experience in deploying machine learning models in a production environment.
Familiarity with DevOps practices and tools for machine learning pipelines (e.g., Docker, Kubernetes).

Benefits:

Competitive salary and performance bonuses.
Health, dental, and vision insurance.
Flexible working hours and remote work options.
Professional development opportunities.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183366
Position Id: 7b89c341a72b3821454c4b44729794cd
Posted 2 hours ago

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