Deep Learning Engineer

TO APPLY FOR THIS ROLE YOU MUST FILL OUT THE APPLICATION USING THE LINK BELOW:

https://portal.jobworx.ai/sal-hmd/jobs/kmJEjr35EB

Job Description:

We are seeking talented and motivated Deep Learning Engineers to join our dynamic team. As a Deep Learning Engineer, you will play a vital role in developing, training, and deploying Deep Learning models and neural networks to address complex problems across various domains. Your expertise will contribute to the creation of innovative solutions using cutting-edge Deep Learning techniques.

Key Responsibilities:

• Design and develop Deep Learning models and neural networks to solve challenging problems.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Implement and optimize Deep Learning algorithms and architectures using frameworks such as TensorFlow, PyTorch, or Keras.
• Preprocess and analyze large datasets to extract meaningful insights and features for model training.
• Train Deep Learning models on high-performance computing systems, leveraging GPUs or distributed computing frameworks.
• Fine-tune and optimize Deep Learning models to enhance their performance, accuracy, and efficiency.
• Deploy Deep Learning models into production environments and ensure their robustness and scalability.
• Conduct experiments and evaluations to assess the performance of Deep Learning models and propose improvements.
• Stay up-to-date with the latest advancements in Deep Learning research, techniques, and frameworks.
• Collaborate with researchers, data scientists, and software engineers to integrate Deep Learning models into end-to-end solutions.

Qualifications and Skills:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. A Ph.D. is a plus.
• Strong understanding of Deep Learning concepts, neural networks, and associated architectures (e.g., CNNs, RNNs, GANs).
• Proficiency in programming languages such as Python, with experience in Deep Learning frameworks (e.g., TensorFlow, PyTorch, Keras).
• Solid knowledge of machine learning principles and algorithms, including supervised and unsupervised learning.
• Experience in working with large datasets and data preprocessing techniques.
• Familiarity with GPU computing and distributed computing frameworks (e.g., CUDA, Spark) is desirable.
• Strong problem-solving and analytical skills, with the ability to think creatively to devise innovative solutions.
• Excellent communication and teamwork abilities, with the capacity to collaborate effectively with cross-functional teams.
• Demonstrated experience in developing and deploying Deep Learning models in real-world applications.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services is a plus.

Job Type: Full-time

Pay: $170,000.00 - $300,000.00 per year

Benefits:

• 401(k)
• Dental insurance
• Health insurance

Work Location: Remote