About Company
Career.zycto is at the forefront of innovation, pushing the boundaries of what’s possible with artificial intelligence. For an AI Developer seeking impact, our collaborative environment fosters ground-breaking research and development. We empower our team to explore novel algorithms, create intelligent systems, and transform complex data into actionable insights. Join us to contribute to projects that redefine industries and elevate human potential, all while being part of a vibrant, forward-thinking collective committed to pioneering AI solutions globally.
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Job Description
Career.zycto is seeking a passionate and innovative AI Developer for a crucial research role to join our dynamic team in Highgate, Saint Mary Parish. In this full-time position, you will be instrumental in designing, developing, and deploying cutting-edge artificial intelligence solutions that address complex challenges across various sectors. This is an unparalleled opportunity for a driven individual with a strong foundation in machine learning, deep learning, and data science to contribute to ground-breaking research and translate theoretical models into practical, high-impact applications. You will work closely with a diverse group of engineers, researchers, and domain experts, fostering an environment of continuous learning and innovation. Your work will involve exploring novel algorithms, experimenting with new methodologies, and contributing to the scientific community through internal reports and potential publications. We are looking for someone who thrives on intellectual curiosity, possesses exceptional problem-solving skills, and is eager to shape the future of AI.
Key Responsibilities
- Conduct in-depth research into new AI/ML algorithms, models, and techniques, focusing on their potential application to real-world problems.
- Design, develop, and implement scalable machine learning models and deep learning architectures using various frameworks and programming languages.
- Evaluate the performance and efficacy of AI models, identifying areas for improvement and optimization through rigorous testing and validation.
- Collaborate with data scientists and engineers to integrate AI solutions into existing platforms and develop new data pipelines for model training.
- Stay abreast of the latest advancements in AI research, contributing innovative ideas and maintaining a competitive edge in the field.
- Prepare comprehensive documentation, research papers, and presentations to communicate findings and methodologies to both technical and non-technical audiences.
- Mentor junior developers and contribute to the overall technical growth and knowledge sharing within the AI research team.
Required Skills
- Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong understanding of machine learning principles, algorithms, and statistical modeling.
- Experience with deep learning architectures (CNNs, RNNs, Transformers) and their application.
- Solid grasp of data structures, algorithms, and software development best practices.
- Excellent problem-solving skills and an analytical mindset.
- Ability to work independently and collaboratively in a fast-paced research environment.
- Experience with version control systems (e.g., Git).
Preferred Qualifications
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Experience with cloud platforms (AWS, Azure, GCP) for deploying and managing AI models.
- Familiarity with MLOps practices and tools for model lifecycle management.
- Demonstrated experience with large-scale data processing (e.g., Spark, Hadoop).
- Track record of relevant publications in top-tier AI conferences or journals.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance.
- Paid time off and public holidays.
- Opportunities for professional development and continuous learning.
- Access to cutting-edge tools and technologies.
- Collaborative and inclusive work environment.
- Company-sponsored team building events and social activities.
How to Apply
Interested candidates are invited to submit their detailed resume, cover letter outlining their research interests and relevant experience, and a portfolio or links to any published work. Please click on the application link below to apply for this exciting opportunity. We thank all applicants for their interest; however, only shortlisted candidates will be contacted.
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