AI Deep Learning Engineer

PrimeLedger Associates

Oslo fylke

On-site

NOK 159,000 - 180,000

Full time

3 days ago
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Benefits offered by this job

Accommodation provided

Job summary

PrimeLedger Associates seeks a skilled deep learning engineer to design and deploy AI models in production. You will work with a team of data scientists and engineers to translate business needs into scalable solutions using Python and C++ and popular ML frameworks.

Candidates should have 2+ years of DL experience, strong fundamentals in neural networks, NLP, and computer vision, and familiarity with Hadoop or Spark is a plus. Oslo-based role with accommodation if needed.

Qualifications

  • Bachelor's or Master's degree in CS/Math or related field.
  • 2+ years of deep learning project experience.
  • Proficient in Python and C++, with experience in TensorFlow or PyTorch.
  • Knowledge of Hadoop or Spark is a plus.

Responsibilities

  • Design and implement deep learning algorithms and models to improve our AI systems.
  • Work closely with cross-functional teams to understand business needs and design solutions that can be deployed in production environments.
  • Collaborate with data scientists to analyze complex data sets and identify patterns that can be used for training machine learning models.
  • Develop efficient code using programming languages like Python and C++ to implement deep learning models.
  • Utilize machine learning frameworks like TensorFlow or PyTorch for model development and deployment.
  • Monitor performance of AI systems in production environments, troubleshoot issues, and make improvements as needed.
  • Stay up-to-date with the latest advancements in AI technology to continuously enhance our systems.

Skills

Deep learning
Python
C++
NLP
Computer Vision

Education

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

Tools

TensorFlow
PyTorch
Hadoop
Spark

Job description

In this role, you will be responsible for developing and implementing deep learning algorithms and models to enhance our artificial intelligence systems. You will work closely with a team of data scientists and engineers to understand business needs, design solutions, and deploy them in production environments. This position requires a strong background in AI and deep learning techniques, as well as experience with programming languages such as Python and C++. The ideal candidate should also have a good understanding of machine learning frameworks such as TensorFlow or PyTorch. Familiarity with big data technologies such as Hadoop or Spark is a plus.

  • Design and implement deep learning algorithms and models to improve our AI systems.
  • Work closely with cross-functional teams to understand business needs and design solutions that can be deployed in production environments.
  • Collaborate with data scientists to analyze complex data sets and identify patterns that can be used for training machine learning models.
  • Develop efficient code using programming languages like Python and C++ to implement deep learning models.
  • Utilize machine learning frameworks like TensorFlow or PyTorch for model development and deployment.
  • Monitor performance of AI systems in production environments, troubleshoot issues, and make improvements as needed.
  • Stay up-to-date with the latest advancements in AI technology to continuously enhance our systems.
  • Bachelor's or Master's degree in Computer Science, Mathematics, or related field.
  • Minimum of 2 years of experience working on deep learning projects.
  • Strong understanding of AI techniques such as neural networks, natural language processing, computer vision, etc.
  • Proficient in programming languages like Python and C++.
  • Experience working with machine learning frameworks such as TensorFlow or PyTorch.
  • Knowledge of big data technologies like Hadoop or Spark is a plus.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Excellent problem-solving skills and attention to detail.

Salary: 1600$ per month

Location: Os, Norway (accommodation provided if needed)

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