Karbon is redefining the fintech landscape and as a Senior AI Engineer you will be at the forefront of leveraging cuttingedge AI and machine learning technologies to create impactful solutions. This is your opportunity to work on advanced models scalable infrastructures and innovative AIdriven workflows that directly contribute to Karbons mission.
Key Responsibilities:
ML Modeling and Deployment
- Train finetune 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 thirdparty APIs.
- Build and deploy scalable AI pipelines to support realtime processing and largescale data workflows.
- Transition AI prototypes into productionready solutions in collaboration with crossfunctional 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 Karbons 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 transformerbased architectures.
- LLM Expertise: Proven experience working with and finetuning large language models (LLMs) like GPT BERT or similar frameworks.
- Generative AI: Handson 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 endtoend AI workflows.
Collaboration & ProblemSolving:
- Strong problemsolving skills with a proven ability to translate research concepts into practical realworld solutions.
- Excellent communication and organizational skills to collaborate effectively with crossfunctional teams.
- Ability to manage multiple projects in a fastpaced dynamic environment.
Why Join Karbon
- Innovative Impact: Work on cuttingedge 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 fastpaced startup environment.
- Competitive Benefits: Competitive salary equity and benefits package tailored to support your personal and professional goals.
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