AI Deep Learning Engineer

GulfSea Services

Akron (OH)

On-site

USD 17,264 - 20,679

Full time

14 days+

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Job summary

GulfSea Services, based in Akron, is seeking an AI Deep Learning Engineer to design and implement advanced deep learning algorithms for various projects. The role demands collaboration with data scientists and software engineers to develop cutting-edge AI solutions.

The ideal candidate should hold a Bachelor’s or Master’s degree in a related field, possess strong programming skills, and be proficient with deep learning frameworks. This contract position offers a competitive salary of $1700 per month, along with growth opportunities and visa sponsorship.

Qualifications

  • Minimum 2 years of experience in AI or machine learning.
  • Strong knowledge of deep learning frameworks.
  • Proficient in programming languages like Python, Java or C++.

Responsibilities

  • Design and implement deep learning algorithms.
  • Collaborate with data scientists to analyze data sets.
  • Integrate deep learning models into production systems.

Skills

Deep learning frameworks (TensorFlow, PyTorch)
Programming languages (Python, Java, C++)
Cloud computing platforms (AWS, Azure)
Analytical skills
Communication skills

Education

Bachelor’s or Master’s degree in computer science, statistics, or mathematics

Tools

Hadoop
Spark
Git

Job description

We are a fast-growing AI company based in Akron, Canada, and we are seeking a highly skilled and motivated AI Deep Learning Engineer to join our team. In this role you will be responsible for designing, developing and implementing state-of-the-art deep learning algorithms for our various projects. You will work closely with our team of data scientists and software engineers to analyze large data sets and create advanced machine learning models that will drive our AI solutions. The ideal candidate will have a strong background in computer science, statistics and mathematics as well as experience working with deep learning frameworks such as TensorFlow or PyTorch.

Key Responsibilities
  • Design and implement deep learning algorithms for various projects
  • Collaborate with data scientists to analyze large data sets and develop machine learning models
  • Work closely with software engineers to integrate deep learning models into production systems
  • Stay updated with the latest developments in the field of deep learning and implement new techniques where applicable
  • Write efficient code that can handle large amounts of data and train models quickly
  • Communicate complex technical concepts to non-technical team members
Requirements
  • Bachelor’s or Master’s degree in computer science, statistics, mathematics or related field
  • Minimum 2 years of experience working in the field of AI or machine learning
  • Strong knowledge of deep learning frameworks such as TensorFlow or PyTorch
  • Proficient in programming languages such as Python, Java or C++
  • Experience working with large datasets and cloud computing platforms like AWS or Azure
  • Strong analytical skills with the ability to interpret complex data sets
  • Excellent communication skills and ability to work collaboratively in a team environment
Preferred Qualifications
  • PhD in computer science, statistics or related field with a focus on artificial intelligence or machine learning
  • Experience implementing natural language processing (NLP) algorithms
  • Familiarity with image recognition technologies
  • Knowledge of big data technologies such as Hadoop or Spark
  • Experience with version control systems like Git
  • Published research papers in the field of AI or machine learning

We offer a competitive salary of $1700 per month along with opportunities for career growth and development. This is a contract position with the possibility of extension for the right candidate. We also provide visa sponsorship for foreign candidates. This is a great opportunity to work in a dynamic and innovative environment using cutting‑edge technologies to solve complex problems. Join our team and be a part of shaping the future of AI.

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