
Data Scientist
16 hours ago
As a highly skilled Artificial Intelligence (AI) Engineer, you will play a pivotal role in leading the design, development, and deployment of innovative SaaS products leveraging Large Language Models (LLMs).
This is an exceptional opportunity for a seasoned professional with a passion for building and iterating quickly, embracing a fail-fast approach to bring cutting-edge AI solutions to market rapidly.
- Design, develop, and deploy SaaS products using LLMs such as Meta, Azure OpenAI, Claude, and Mistral.
- Spearhead product lifecycle management from conceptualization to deployment, ensuring seamless integration of AI models with business requirements and user needs.
- Create secure, scalable, and efficient SaaS products that embody robust data management and comply with security and governance standards.
- Collaborate closely with product management, and other stakeholders to align AI-driven SaaS solutions with business strategies and customer expectations.
- Fine-tune AI models using custom instructions to tailor them to specific use cases and optimize performance through techniques like quantization and model tuning.
- Architect AI deployment strategies using cloud-agnostic platforms (AWS, Azure, Google Cloud), ensuring cost optimization while maintaining performance and scalability.
- Apply retrieval-augmented generation (RAG) techniques to build AI models that provide contextually accurate and relevant outputs.
- Built-in the integration of APIs and third-party services into the SaaS ecosystem, ensuring robust and flexible product architecture.
- Monitor product performance post-launch, iterating and improving models and infrastructure to enhance user experience and scalability.
- Stay current with AI advancements, SaaS development trends, and cloud technology to apply innovative solutions in product development.
- Bachelor's degree or equivalent in Information Systems, Computer Science, or related fields.
- 6+ years of experience in product development, with at least 2 years focused on AI-based SaaS products.
- Demonstrated experience in leading the development of SaaS products, from ideation to deployment, with a focus on AI-driven features.
- Hands-on experience with LLMs (Meta, Azure OpenAI, Claude, Mistral) and SaaS platforms.
- Proven ability to build secure, scalable, and compliant SaaS solutions, integrating AI with cloud-based services (AWS, Azure, Google Cloud).
- Strong experience with RAG model techniques and fine-tuning AI models for business-specific needs.
- Proficiency in AI engineering, including machine learning algorithms, deep learning architectures (e.g., CNNs, RNNs, Transformers), and integrating models into SaaS environments.
- Solid understanding of SaaS product lifecycle management, including customer-focused design, product-market fit, and post-launch optimization.
- Excellent communication and collaboration skills, with the ability to work cross-functionally and drive SaaS product success.
- Knowledge of cost-optimized AI deployment and cloud infrastructure, focusing on scalability and performance.
Our team specializes in creating digital solutions that meet the needs of enterprises. We are passionate about exploring new technologies and contextualizing them within specific industries.
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