Karbon is redefining the fintech landscape, and as a Senior AI 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.

Key Responsibilities

ML Modeling and Deployment

• Train, fine-tune, and deploy machine learning models, including large language models (LLMs) like GPT and BERT, to solve complex business problems.
• Develop and optimize Generative AI models, including diffusion models, LoRA, and advanced training techniques.
  
  

AI Workflows & Integration

• Design, implement, and optimize AI workflows leveraging LLMs, Generative AI, and third-party APIs.
• Build and deploy scalable AI pipelines to support real-time processing and large-scale data workflows.
• Transition AI prototypes into production-ready solutions in collaboration with cross-functional teams.
  
  

ML Infrastructure and Performance Optimization

• Scale data pipelines, optimize training and inference systems, and ensure reliability across all ML systems.
• Enhance system performance, scalability, and reliability to meet evolving customer and business needs.
• Monitor and improve deployed solutions based on feedback and performance metrics.
  
  

Backend Engineering and Cloud Deployment

• Develop backend features and automation tasks to integrate AI systems seamlessly into Karbon's platform.
• Leverage cloud platforms (AWS, GCP, Azure) to design scalable GPU systems for AI/ML deployments.
  
  

Qualifications And Skills

Core Expertise

• ML Algorithms: Strong understanding of fundamental ML algorithms, including transformer-based architectures.
• LLM Expertise: Proven experience working with and fine-tuning large language models (LLMs) like GPT, BERT, or similar frameworks.
• Generative AI: Hands-on experience deploying and optimizing Generative AI models with advanced knowledge of diffusion models, LoRA, and similar techniques.
  
  

Technical Skills

• Programming: Strong proficiency in Python with experience in frameworks like TensorFlow and PyTorch.
• Cloud & Infrastructure: Proven expertise in cloud environments (AWS, GCP, Azure).
• API Integration: Proficiency in building and integrating APIs and end-to-end AI workflows.
  
  

Collaboration & Problem-Solving

• Strong problem-solving skills with a proven ability to translate research concepts into practical, real-world solutions.
• Excellent communication and organizational skills to collaborate effectively with cross-functional teams.
• Ability to manage multiple projects 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, learning, and growth in a supportive environment.
• Growth Opportunities: Access to continuous learning resources and career growth potential in a fast-paced startup environment.
• Competitive Benefits: Competitive salary, equity, and benefits package tailored to support your personal and professional goals.
  
  

Skills: deployment,ml algorithms,ml modeling,azure,generative ai,gcp,llm expertise,pytorch,problem-solving,python,cloud platforms,api integration,ml,collaboration,tensorflow,backend engineering,aws