AI Deep Learning Engineer

BuySphere Retail Staffing; Norway; On-site; NOK 162,000 - 195,000; Full time

Job summary

BuySphere Retail Staffing is seeking an experienced AI Deep Learning Engineer to join our team in the US. The role focuses on developing advanced deep learning models, analyzing large datasets, and working with cross-functional teams to deliver innovative AI solutions.

The ideal candidate has a strong foundation in computer science and mathematics, with 2+ years in deep learning using TensorFlow or PyTorch, and proficiency in Python or C++. Excellent communication and teamwork are essential.

Qualifications

• Bachelor's or Master's degree in Computer Science, Mathematics, or related field.
• Minimum of 2 years' experience with deep learning frameworks such as TensorFlow or PyTorch.
• Strong understanding of machine learning algorithms and techniques.
• Proficient in Python or C++.
• Experience with data preprocessing, feature engineering, and model optimization.
• Strong problem-solving and detail-oriented mindset.
• Excellent communication and teamwork abilities.

Responsibilities

• Develop and implement deep learning algorithms and models.
• Analyze large datasets to extract key insights.
• Collaborate with cross-functional teams to develop innovative solutions.
• Stay up-to-date with the latest advancements in AI technology.
• Communicate complex technical concepts to non-technical stakeholders.
• Write clean, efficient, and well-documented code.
• Participate in code reviews and provide constructive feedback.

Skills

Deep learning

Python

C++

Data preprocessing

Model optimization

Problem solving

Communication

Education

Bachelor's degree in Computer Science or Mathematics

Master's degree in related field

PhD preferred

Tools

TensorFlow

PyTorch

Job description

We are seeking an experienced AI Deep Learning Engineer to join our team in the US. As part of our innovative and dynamic company, you will have the opportunity to work on cutting-edge projects and contribute to the advancement of AI technology. The ideal candidate will have a strong background in computer science, mathematics, and machine learning, with a passion for developing advanced algorithms and models. You will collaborate with a team of engineers and researchers to design and implement deep learning solutions for various applications. This is an exciting opportunity for someone who wants to make a significant impact in the field of AI.

Responsibilities

• Develop and implement deep learning algorithms and models
• Analyze large datasets to extract key insights
• Collaborate with cross-functional teams to develop innovative solutions
• Stay up-to-date with the latest advancements in AI technology
• Communicate complex technical concepts to non-technical stakeholders
• Write clean, efficient, and well-documented code
• Participate in code reviews and provide constructive feedback

Requirements

• Bachelor's or Master's degree in Computer Science, Mathematics, or related field
• Minimum of 2 years' experience working with deep learning frameworks such as TensorFlow or PyTorch
• Strong understanding of machine learning algorithms and techniques
• Proficient in programming languages such as Python or C++
• Experience with data preprocessing, feature engineering, and model optimization
• Strong problem-solving skills and attention to detail
• Excellent communication and teamwork abilities

Preferred Qualifications

• PhD in Computer Science, Mathematics, or related field
• Experience working on real-world deep learning projects
• Familiarity with cloud computing platforms such as AWS or Azure
• Knowledge of natural language processing (NLP) techniques
• Experience working with image recognition or computer vision applications

Salary: $1700/month without accommodation

Location: US (preference but not strict requirement)

This is an urgent job opportunity for someone who is passionate about AI and wants to join a fast-paced, dynamic team. If you meet the requirements and are ready for a challenging and rewarding career, we encourage you to apply today.