About Us:
We are a cutting-edge AI company revolutionizing the way businesses leverage machine learning solutions. We focus on developing advanced deep learning models and AI-driven applications to solve complex real-world problems and drive innovation. Our team is passionate about staying on the frontier of AI, and we are looking for a talented Deep Learning Engineer to help us push boundaries further.
Key Responsibilities:
- Design, develop, and optimize deep learning models for various applications such as computer vision, natural language processing, and reinforcement learning.
- Collaborate with cross-functional teams to define, design, and ship new features and products that incorporate deep learning algorithms.
- Implement scalable ML systems in a production environment, ensuring robustness and efficiency in performance.
- Stay updated with the latest trends and advancements in AI, contributing to research initiatives and exploring new approaches.
- Work closely with data scientists, machine learning engineers, and backend teams to deploy models and integrate AI solutions into business operations.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field from a top-tier institution (e.g., Ivys, Stanford, Cal, Waterloo).
- 2-4 years of experience in deep learning, neural networks, and working with large datasets.
- Proven track record of shipping products or solutions with significant usage in either computer vision, natural language processing (NLP), or another deep learning domain.
- Hands-on experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Strong programming skills in Python, with experience in data manipulation libraries (e.g., NumPy, Pandas) and familiarity with distributed computing frameworks.
- Experience building and scaling ML infrastructure in production environments.
- Familiarity with cloud computing platforms (AWS, GCP, or Azure) and modern CI/CD pipelines for AI.
- Excellent communication and collaboration skills, with a proactive approach to problem-solving.
Preferred Skills:
- Experience with Generative AI models (e.g., GPT, BERT) is a plus.
- Background in backend development and understanding of cloud-based architectures is beneficial.
- Knowledge of reinforcement learning and unsupervised learning techniques.
Why Join Us?
- Opportunity to work on cutting-edge AI solutions that have a real-world impact.
- Collaborative and innovative work environment with a team of highly skilled engineers and scientists.
- Competitive compensation and benefits package.
- Flexible, remote working options.