Remote Sr. AI Software Engineer

Description:

• Design, develop, and implement AI models and algorithms to solve complex business problems.
• Work closely with data scientists and stakeholders to understand requirements and translate them into technical solutions.
• Optimize and enhance the performance of AI models using techniques such as hyperparameter tuning and feature engineering.
• Implement and deploy AI models into production systems.
• Collaborate with cross-functional teams to integrate AI capabilities into existing software systems.
• Stay up to date with the latest advancements in AI technologies and frameworks.
• Conduct research and experiments to explore new AI techniques and methodologies.

Requirements:

• Proficiency in languages like Python.
• Experience with frameworks such as TensorFlow, PyTorch, and Keras.
• Understanding of generative models like GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer-based models (e.g., GPT, BERT).
• Skills in data pre-processing, data augmentation, and handling large datasets.
• Knowledge of NLP techniques, including tokenization, text generation, and sentiment analysis.
• Ability to work with large language model APIs and integrate them into applications.
• Strong foundation in software engineering principles, including version control, system integration, and DevOps practices.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying AI models.
• Expertise in designing and optimizing prompts for AI chatbots and other generative AI applications.

Benefits:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• At least 9+ years of practical experience in backend development, with a strong command of one or more programming languages like Python, Go, or JAVA.
• Proven experience in designing and developing scalable backend systems for high-traffic applications.
• Familiarity with cloud-based infrastructures (e.g., AWS, Google Cloud) and container technologies (e.g., Docker, Kubernetes).
• Solid understanding of database systems and data modeling, as well as proficiency in SQL and NoSQL databases.
• Experience with RESTful API design and implementation, and understanding of microservices architecture.
• Knowledge of security best practices and data protection measures for backend systems.
• Strong problem-solving skills and the ability to troubleshoot complex technical issues.
• Excellent team player with good communication and collaboration skills.