Sequantix | Se. Gen AI Engineer
5 days ago
We are looking for an experienced Senior Generative AI Engineer to lead the expansion of a Generative AI MVP into additional frontline banking scenarios. This role will involve developing, fine-tuning, and deploying Generative AI models, such as Llama 3 , on Databricks and AWS platforms. The ideal candidate will have a strong background in machine learning, NLP, and scalable AI architectures.
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.
Preferred Qualifications:
- Experience with Llama 3 or other advanced large language models.
- Knowledge of Generative AI in financial services or similar domains.
- Familiarity with distributed training and fine-tuning techniques.
- Exposure to responsible AI practices , including model explainability and ethical AI guidelines.
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