Karbon is redefining the fintech landscape, and as a Senior AI-ML Engineer, you will be at the forefront of leveraging cutting-edge AI and machine learning technologies to create impactful solutions. This is your opportunity to work on advanced models, scalable infrastructures, and innovative AI-driven workflows that directly contribute to Karbon's mission. You will be responsible for end-to-end ML model development and deployment, building robust AI workflows, optimizing infrastructure for performance, and seamless integration into our cloud-based platform.

Key Responsibilities :

ML Modeling and Deployment :

- Train, fine-tune, and deploy complex machine learning models, including Large Language Models (LLMs) like GPT and BERT, to address challenging business problems.

- Develop and optimize Generative AI models, including hands-on experience with diffusion models, LoRA (Low-Rank Adaptation), and advanced training techniques to achieve state-of-the-

art results.

AI Workflows & Integration :

- Design, implement, and optimize intricate AI workflows leveraging LLMs, Generative AI, and third-party APIs for seamless functionality.

- Build and deploy scalable AI pipelines to support real-time processing and manage large-scale data workflows efficiently.

- Transition AI prototypes into robust, production-ready solutions in close collaboration with cross-functional teams, ensuring quality and reliability.

ML Infrastructure and Performance Optimization :

- Scale complex data pipelines, optimize training and inference systems, and ensure high reliability and availability across all ML systems.

- Enhance overall system performance, scalability, and reliability of AI/ML solutions to meet evolving customer and business demands.

- Continuously monitor and improve deployed solutions based on performance metrics, user feedback, and operational insights.

Backend Engineering and Cloud Deployment :

- Develop critical backend features and automation tasks to seamlessly integrate AI systems into Karbon's core platform.

- Leverage expertise in cloud platforms (AWS, GCP, Azure) to design and implement scalable GPU systems for efficient AI/ML model training and inference deployments.

Qualifications And Skills :

Core Expertise :

- ML Algorithms : Strong understanding of fundamental machine learning algorithms, with deep knowledge of transformer-based architectures.

- LLM Expertise : Proven hands-on experience working with and fine-tuning Large Language Models (LLMs) such as GPT, BERT, or similar state-of-the-art frameworks.

- Generative AI : Hands-on experience deploying and optimizing Generative AI models, with advanced knowledge of diffusion models, LoRA, and similar techniques for image/text

generation or transformation.

Technical Skills :

- Programming : Strong proficiency in Python programming, with extensive experience using ML frameworks like TensorFlow and PyTorch.

- Cloud & Infrastructure : Proven expertise in major cloud environments (AWS, GCP, Azure), including deploying and managing ML workloads.

- API Integration : Proficiency in designing, building, and integrating APIs and end-to-end AI workflows.

- Familiarity with containerization technologies (e.g., Docker, Kubernetes) for ML deployment is a plus.

Collaboration & Problem-Solving :

- Strong problem-solving skills with a proven ability to translate complex research concepts into practical, real-world, scalable AI solutions.

- Excellent communication and organizational skills to collaborate effectively with cross-functional teams (e.g., product, data science, backend).

- Ability to manage multiple projects concurrently in a fast-paced, dynamic environment.

Why Join Karbon ?

- Innovative Impact : Work on cutting-edge AI technologies that redefine fintech solutions and create meaningful customer experiences.

- Collaborative Culture : Join a talented team that fosters creativity, continuous learning, and professional growth in a supportive environment.

- Growth Opportunities : Access to continuous learning resources and significant career growth potential within a fast-paced startup.

- Competitive Benefits : Enjoy a competitive salary, equity opportunities, and a comprehensive benefits package tailored to support your personal and professional goals.