We are seeking a skilled Software Developer with a focus on Artificial Intelligence (AI) to join our innovative team. The ideal candidate will design, develop, and implement AI-driven solutions to enhance our products and services, leveraging cutting-edge machine learning techniques and software engineering principles to solve complex problems.
Develop AI Solutions: Design and implement AI and machine learning models to address business needs, including predictive analytics, natural language processing, and computer vision applications.
Software Development: Write clean, efficient, and maintainable code in languages such as Python, Java, or C++ to integrate AI models into production systems.
Data Pipeline Management: Build and maintain scalable data pipelines for preprocessing, training, and deploying AI models.
Model Optimization: Optimize machine learning models for performance, scalability, and efficiency in production environments.
Collaboration: Work closely with data scientists, product managers, and other developers to define requirements and deliver AI-powered features.
Testing and Validation: Conduct rigorous testing and validation of AI models and software to ensure accuracy, reliability, and robustness.
Stay Current: Keep up-to-date with the latest advancements in AI, machine learning, and software development practices to incorporate into projects.
Documentation: Document code, models, and processes to ensure maintainability and knowledge sharing within the team.
Experience:
3+ years of software development experience.
1+ years of experience working with AI or machine learning technologies.
Technical Skills:
Proficiency in programming languages such as Python, Java, or C++.
Experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Familiarity with cloud platforms for deploying AI models.
Knowledge of data processing tools (e.g., Pandas, NumPy) and databases (SQL, NoSQL).
Understanding of software engineering principles, including version control (Git), CI/CD, and testing frameworks.
AI-Specific Skills:
Strong understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning).
Experience with model training, evaluation, and deployment.
Familiarity with natural language processing, computer vision, or reinforcement learning is a plus.
Soft Skills:
Strong problem-solving and analytical skills.
Excellent communication and teamwork abilities.
Ability to work in a fast-paced, collaborative environment.
Experience with large language models or generative AI.
Knowledge of containerization tools (e.g., Docker, Kubernetes).
Contributions to open-source AI or software projects.
Familiarity with agile development methodologies.