About Company
Are you ready to redefine what’s possible with artificial intelligence? Career.zycto offers a dynamic and intellectually stimulating environment where deep learning specialists can truly thrive. We’re a forward-thinking tech company dedicated to crafting groundbreaking AI solutions that address complex real-world challenges. Here, your insights will directly influence products, driving innovation in areas like computer vision, natural language processing, and predictive analytics. Join a collaborative team that values curiosity, fosters continuous learning, and empowers you to push the boundaries of machine intelligence. Your contributions will be pivotal in shaping our future and the future of AI.
Job Description
Career.zycto is actively seeking a highly skilled and innovative Deep Learning Specialist to join our dynamic AI research and development team in Harris Park, Sydney. This is a full-time opportunity for an individual passionate about pushing the boundaries of artificial intelligence and machine learning. As a Deep Learning Specialist, you will be instrumental in designing, developing, and deploying advanced deep learning models that solve complex, real-world problems across various domains, including computer vision, natural language processing, and predictive analytics.
You will work closely with data scientists, machine learning engineers, and product managers to translate research insights into production-ready solutions. Your day-to-day will involve conducting cutting-edge research, experimenting with novel architectures, optimizing model performance, and ensuring the scalability and reliability of our AI systems. This role demands a strong theoretical foundation in deep learning principles, coupled with hands-on experience in major frameworks like TensorFlow or PyTorch. You’ll be challenged to innovate, collaborate, and contribute to a culture that values scientific rigor, creativity, and impactful technological advancements. If you are driven by curiosity, enjoy tackling challenging problems, and are eager to make a significant impact through your expertise in deep learning, we encourage you to apply and become a pivotal part of Career.zycto’s future.
Key Responsibilities
- Design, develop, and implement state-of-the-art deep learning models for various applications (e.g., image recognition, natural language understanding, anomaly detection).
- Conduct thorough research and experimentation to explore new deep learning architectures, algorithms, and techniques.
- Optimize existing models for performance, efficiency, and scalability on diverse hardware platforms.
- Collaborate with data engineers to ensure robust data pipelines for training and inference.
- Work with MLOps engineers to deploy, monitor, and maintain deep learning models in production environments.
- Evaluate and benchmark model performance using rigorous statistical and machine learning metrics.
- Stay abreast of the latest advancements in deep learning research and apply relevant findings to our projects.
- Document research findings, model architectures, and implementation details clearly and concisely.
- Mentor junior team members and contribute to a culture of continuous learning and knowledge sharing.
Required Skills
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong proficiency in Python programming and related libraries (NumPy, Pandas, scikit-learn).
- Solid understanding of various deep learning architectures (CNNs, RNNs, Transformers, GANs, LSTMs).
- Experience with data preprocessing, feature engineering, and augmentation techniques for deep learning.
- Familiarity with cloud platforms (AWS, Azure, GCP) for scalable model training and deployment.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication skills to articulate complex technical concepts to diverse audiences.
Preferred Qualifications
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience with reinforcement learning or graph neural networks.
- Familiarity with MLOps practices and tools (e.g., Docker, Kubernetes, MLflow).
- Prior experience in deploying deep learning models to production.
- Published research in top-tier AI/ML conferences or journals.
- Experience with distributed training frameworks and high-performance computing.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health and wellness benefits.
- Generous paid time off and flexible working arrangements.
- Opportunities for professional development, including conferences, workshops, and courses.
- State-of-the-art equipment and access to cutting-edge AI infrastructure.
- A vibrant, collaborative, and inclusive work culture.
- Regular team-building events and social activities.
- Convenient office location with excellent public transport access in Harris Park.
How to Apply
Interested candidates are encouraged to click on the application link below to submit their resume and a cover letter detailing their experience and interest in this Deep Learning Specialist role. Please highlight your most relevant projects and contributions.
