Description:

Elevate the retrieval-augmented generation (RAG) capabilities by efficiently integrating and utilizing diverse data sources.
Focus on enhancing embedding generation techniques for accuracy and efficiency.
Stay updated on the latest advancements in AI models and assist end-users in selecting suitable models for their use cases.
Collaborate with backend and frontend teams to integrate AI models into products and services.
Prioritize customer needs and engage in customer support.

Requirements:

Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or related fields.
Expertise in machine learning and AI, especially in generative models.
Proficiency in implementing retrieval-augmented generation pipelines.
Strong programming skills in Python and experience with TensorFlow or PyTorch.
Familiarity with embedding techniques and their practical applications.
Strong problem-solving abilities and experience in fast-paced environments.
Excellent communication and collaboration skills.

Competitive salary package with performance-based bonuses.
Stock options to share in company success.
Comprehensive health insurance for you and your dependents.
Flexible work hours and remote work options for work-life balance.
Professional development opportunities, including access to conferences and workshops.
Wellness programs and fitness stipends for physical and mental well-being.
Generous vacation and paid time off policies.
Company-sponsored social events and team-building activities.
Opportunities for career advancement within the organization.