AI Developer REMOTE
Birble AI is seeking a talented AI Developer to join our dynamic and fast-growing team. As an AI Developer, you will play a crucial role in developing and implementing cutting-edge AI technologies to revolutionize our marketing strategies. This is an exciting opportunity to work in the Web3/blockchain industry and be at the forefront of defining the future of DeFi, GameFi, and social good.
AI Solution Development: Designing, developing, and implementing AI algorithms, models, and systems that address specific business needs and objectives. This involves understanding requirements, conducting research, and selecting appropriate AI techniques.
Data Analysis and Preparation: Analyzing and preprocessing large datasets to ensure data quality, handling missing values, feature engineering, and transforming data into suitable formats for AI models.
Machine Learning Model Development: Building and training machine learning models using appropriate algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Tuning and optimizing models to improve performance.
Deep Learning and Neural Networks: Developing and implementing deep learning architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), or transformer models, for tasks like image recognition, natural language processing, or time series analysis.
Evaluation and Testing: Assessing the performance and accuracy of AI models through appropriate evaluation metrics and testing methodologies. Iterating and refining models based on feedback and insights.
Deployment and Integration: Collaborating with software engineers and DevOps teams to deploy AI models into production environments, ensuring scalability, efficiency, and compatibility with existing systems. Integrating AI solutions into the Birble AI platform or user dashboard.
Monitoring and Maintenance: Monitoring the performance and behavior of deployed AI systems, identifying and addressing issues, and performing regular maintenance and updates to ensure ongoing reliability and effectiveness.
Collaboration and Communication: Working closely with cross-functional teams, including data scientists, engineers, product managers, and stakeholders, to understand requirements, communicate progress, and align AI solutions with business goals.
Research and Innovation: Staying updated with the latest advancements in AI and machine learning research, exploring new techniques, algorithms, or frameworks, and applying innovative approaches to enhance AI capabilities within the Birble AI ecosystem.
Documentation and Knowledge Sharing: Documenting the development process, codebase, and technical specifications to maintain a knowledge repository. Sharing expertise, best practices, and insights with colleagues and contributing to the growth of the AI development community within Birble AI.
Education: A bachelor’s or master’s degree in computer science, artificial intelligence, machine learning, data science, or a related field provides a strong foundation. Advanced degrees or specialized certifications can further enhance qualifications.
Programming Skills: Proficiency in programming languages commonly used in AI development, such as Python, Java, C++, or R, is essential. Familiarity with frameworks and libraries like TensorFlow, PyTorch, or scikit-learn is also beneficial.
Machine Learning and AI Knowledge: In-depth understanding of machine learning algorithms, statistical modeling, data preprocessing, and data visualization is crucial. Knowledge of deep learning, natural language processing (NLP), computer vision, and reinforcement learning is highly advantageous.
Data Manipulation and Analysis: Competence in working with large datasets, data cleaning, feature engineering, and data analysis is important. Experience with SQL, data wrangling, and data visualization tools like Pandas, NumPy, or Matplotlib is beneficial.
Problem-solving and Mathematical Skills: Strong analytical thinking and problem-solving abilities are vital for designing effective AI solutions. Proficiency in linear algebra, calculus, probability, and statistics facilitates a deeper understanding of AI algorithms.
Software Engineering: Understanding software engineering principles, including version control, testing, debugging, and software development methodologies, helps in building robust and scalable AI systems.
Domain Knowledge: Familiarity with the specific industry or domain where AI will be applied, such as healthcare, finance, or autonomous vehicles, enables developers to design relevant and effective solutions.
Communication and Collaboration: Effective communication skills are essential for collaborating with interdisciplinary teams, understanding business requirements, and conveying AI concepts to non-technical stakeholders.
Continuous Learning: AI is a rapidly evolving field, so a willingness to stay updated with the latest advancements, research papers, and industry trends is crucial. Participating in AI competitions, attending conferences, or pursuing online courses can demonstrate a commitment to continuous learning.
Experience and Projects: Practical experience through internships, research projects, or personal AI projects showcases hands-on skills and demonstrates the ability to apply AI techniques in real-world scenarios.
100% Remote Work
Pay negotiable and based off industry standards & ability / experience
Let's find you the development home you deserve!
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