Join a leading global financial services organization through a top-tier consulting firm as an AI/ML Engineer. In this role, you'll develop and implement cutting-edge AI solutions to revolutionize banking services. We're looking for talented individuals with hands-on Python experience, a strong background in machine learning, and proven success in deploying LLMs and ChatGPT models in production environments. This is your chance to work on impactful projects with a team of industry experts, leveraging advanced technologies to drive innovation.
Key Responsibilities:
- Develop & Deploy: Create, test, and deploy machine learning models using Python frameworks such as scikit-learn, scipy, and numpy, alongside deep learning libraries including TensorFlow and Keras.
- Lead AI Projects: Spearhead practical, production-based GenAI projects like text summarization, chatbot creation, and other AI applications using cutting-edge LLM models like GPT-4, LLAMA, and more.
- Innovate AI Solutions: Design and implement neural networks, BERT, transformers, and other advanced AI architectures.
- Optimize Performance: Apply prompt engineering techniques to enhance AI model performance.
- Enhance AI Capabilities: Utilize Azure AI Search, vector databases, and other tools to optimize AI solutions.
- Develop Conversational AI: Create conversational AI solutions and integrate them into customer-facing applications.
- Collaborate & Innovate: Work with cross-functional teams to identify AI opportunities and drive their implementation.
- Stay Updated: Keep abreast of the latest advancements in AI and machine learning technologies and integrate them into the bank’s AI strategy.
- Mentor & Guide: Provide mentorship and guidance on AI/ML best practices to junior team members.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
- Proven hands-on experience in machine learning, deep learning, and AI, preferably in a financial services environment.
- Proficiency in Python and its frameworks such as scikit-learn, scipy, numpy, TensorFlow, and Keras.
- Extensive experience with Generative AI projects and LLM models like GPT-4, LLAMA, etc.
- Deep understanding of neural networks, BERT, transformers, RAG, and other AI architectures.
- Hands-on experience with Azure AI Search, vector databases, and other AI optimization tools.
- Strong skills in prompt engineering and conversational AI development.
- Demonstrated experience with various LLMs including Azure Open AI (GPT-4 Turbo), LLAMA2, and other advanced models in a production environment.
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
- Strong communication skills and the ability to explain complex AI concepts to non-technical stakeholders.
Preferred Qualifications:
- Experience with financial services and banking applications.
- Knowledge of regulatory requirements and compliance related to AI in banking.
- Published research in AI/ML or related fields.
What We Offer:
- Competitive Salary & Benefits: Attractive compensation package tailored to your skills and experience.
- Global Impact: Work on high-impact projects for a leading global financial services organization.
- Innovative Environment: Join a talented, innovative team dedicated to pushing the boundaries of AI.
- Professional Growth: Access continuous learning and professional development opportunities.
- Flexible Work Arrangements: Enjoy a balanced work-life dynamic with flexible working conditions.
- Inclusive Culture: Be part of a dynamic and inclusive work environment that values diversity.