Senior Generative AI Architect
4 days ago
Sequantix Seeks Senior Generative AI Architect
We are a leading fintech company, and we're looking for an experienced Sr. Gen. AI Architect to lead the expansion of our Generative AI MVP into additional frontline banking scenarios. This role will involve developing, fine-tuning, and deploying Generative AI models on cloud platforms.
About the Role:
- Generative AI Model Development:
- Expand and enhance the existing Generative AI MVP to support new use cases for frontline bankers.
- Design and fine-tune large language models and other advanced generative AI solutions for banking applications.
- Integration & Deployment:
- Integrate AI models with Databricks pipelines and AWS infrastructure for seamless scalability.
- Deploy AI solutions in production environments, ensuring robustness and reliability.
- Data Preparation & Processing:
- Collaborate with data engineers to preprocess and manage large transactional datasets (cards, business banking, etc.) for AI readiness.
- Ensure model input data adheres to quality and formatting standards for optimal performance.
- Performance Optimization:
- Monitor and optimize model performance in terms of accuracy, speed, and cost efficiency.
- Experiment with hyperparameter tuning and distributed training techniques on Databricks clusters.
- Collaboration:
- Partner with data engineers and stakeholders to identify and prioritize AI use cases.
- Provide technical leadership and mentorship to junior team members.
- Research & Innovation:
- Stay updated on the latest trends and technologies in Generative AI and machine learning.
- Propose innovative solutions to enhance the effectiveness and scalability of AI-driven applications.
Requirements & Qualifications:
- Technical Expertise:
- 6+ years of experience in AI/ML, with 3+ years in Generative AI model development.
- Proficiency in Python, TensorFlow, PyTorch, and ML frameworks.
- Expertise in NLP techniques, including transformers, embeddings, and large language models.
- Experience with Databricks and AWS cloud services (e.g., SageMaker, Lambda, S3).
- AI Integration & Deployment:
- Hands-on experience deploying AI models in production environments using MLOps pipelines.
- Familiarity with integrating AI models into data pipelines and business workflows.
- Problem-Solving & Leadership:
- Strong problem-solving skills with a focus on designing scalable AI solutions.
- Experience leading teams or mentoring junior engineers.
- Soft Skills:
- Excellent communication and ability to translate technical concepts into business language.
- Strong collaboration skills to work with cross-functional teams.
Estimated Salary: $150,000 - $200,000 per year
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