AI/ML Engineer

We're seeking exceptional engineers to drive our ambitious goals forward! We need individuals with extraordinary skills who can thrive in our fast-paced environment and deliver consistently outstanding results.In this role, you will:Elevate our retrieval-augmented generation (RAG) capabilities by ensuring efficient integration and utilization of diverse data sources.Focus on enhancing embedding generation techniques, optimizing them for both accuracy and efficiency.Stay updated on the latest advancements in AI models, understanding their evolving capabilities and complexities of integration. You'll become the team's go-to expert, assisting end-users in selecting the most suitable models for their use cases.Collaborate closely with both backend and frontend teams to seamlessly integrate AI models into our products and services.Prioritize customer needs and build strong relationships by actively engaging in customer support alongside other team members.You'll excel in this role if you have:A Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or related fields.Demonstrated expertise in machine learning and AI, particularly in generative models.Proficiency in implementing retrieval-augmented generation pipelines.Strong programming skills in Python and hands-on experience with popular machine learning frameworks like TensorFlow or PyTorch.Familiarity with embedding techniques and their practical applications in AI models.Exceptional problem-solving abilities and a track record of thriving in fast-paced environments.Excellent communication and collaboration skills.You'll stand out if you also possess:A PhD in a relevant field, showcasing your advanced expertise.Published research or projects in generative AI, embeddings, or retrieval-augmented generation.Experience with deploying large-scale ML models in production environments.Contributions to open-source AI/ML projects, highlighting your proactive involvement in the community.In-depth knowledge of generative AI hardware, including GPU architectures, requirements, and optimization techniques for AI model deployment.Benefits:Competitive salary package with performance-based bonuses.Stock options, allowing you to share in the company's success and growth.Comprehensive health insurance coverage for you and your dependents.Flexible work hours and the option for remote work, promoting work-life balance.Professional development opportunities, including access to conferences, workshops, and courses to enhance your skills.Wellness programs and fitness stipends to support your physical and mental well-being.Generous vacation and paid time off policies to encourage relaxation and rejuvenation.Company-sponsored social events and team-building activities to foster a positive work culture.Opportunities for career advancement and growth within the organization.

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