Senior AI Architect
3 days ago
We are seeking a highly skilled Senior Generative AI Engineer to lead the expansion of our Generative AI Minimum Viable Product (MVP) into additional frontline banking scenarios. As a key member of our team, you will be responsible for developing, fine-tuning, and deploying Generative AI models on Databricks and AWS platforms.
Key Responsibilities:
- Generative AI Model Development:
- Expand and enhance the existing Generative AI MVP to support new use cases for frontline bankers.
- Design and fine-tune Llama 3 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.
Required Skills & Experience:
- Technical Expertise:
- 6+ years of experience in AI/ML, with 3+ years in Generative AI model development (e.g., Llama, GPT, BERT, etc.).
- 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.
Salary: $120,000 - $180,000 per year
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