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.

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.