Artificial Intelligence Architect

We are CirrusLabs . Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization.

You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.

You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented AI Architect to join our team. If you're excited to be part of a winning team, CirrusLabs is a great place to grow your career.

Experience : 8 - 10 years

Location : skills : Python, Gen AI, traditional ML, core Data scientist, ML Ops, Agentic AI

Position Overview :

We are seeking an experienced AI Architect to join our dynamic team. This role combines deep technical expertise in traditional statistics, classical machine learning, and modern AI with full-stack development capabilities to build end-to-end intelligent systems. You'll work on revolutionary projects involving generative AI, large language models, and advanced data science applications.

Key Responsibilities :

AI / ML Development & Data Science :

• Design, develop, and deploy machine learning models ranging from classical algorithms to deep learning for production environments
• Apply traditional statistical methods including hypothesis testing, regression analysis, time series forecasting, and experimental design
• Build and optimize large language model applications including fine-tuning, prompt engineering, and model evaluation
• Implement Retrieval Augmented Generation (RAG) systems for enhanced AI capabilities
• Conduct advanced data analysis, statistical modeling, A / B testing, and predictive analytics using both

classical and modern techniques

Required Qualifications :

Bayesian inference

prompt engineering

engineering

(ref : hirist.tech)