Sr. Machine Learning Engineer - Security Gen AI (Finance)

Sr. Machine Learning Engineer - Security Gen AI
Position Overview: We are looking for a talented and experienced Deep Learning Engineer specializing in Large Language Models (LLMs) to join our dynamic team. In this role, you will play a pivotal part in enhancing the reliability, safety, and performance of AI models and systems. You will work closely with AI researchers and product teams to drive cutting-edge advancements in AI safety and responsible AI solutions.

Responsibilities:

• Assist in designing and implementing end-to-end safety-focused frameworks for LLMs.
• Develop and apply risk mitigation techniques, including safe inference strategies to ensure reliable AI behavior.
• Identify vulnerabilities in AI systems and contribute to adversarial testing, bias detection, and mitigation strategies.
• Collaborate with cross-functional teams to integrate safety mechanisms into AI workflows and pipelines.
• Design and optimize LLM architectures to improve performance, scalability, and efficiency.
• Fine-tune pre-trained LLMs on domain-specific datasets to improve task performance.
• Stay up to date with the latest research papers, techniques, and advancements in deep learning and related fields.
• Strong software engineering and programming skills, and ability to quickly develop working prototypes from research ideas.

Requirements:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• Proven experience in developing and deploying Large Language Models (LLMs), with a focus on architectures such as GPT, BERT, and their variants.
• Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch.
• Knowledge of distributed training techniques and experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).
• Excellent problem-solving skills and ability to work independently and in a team environment.
• Strong communication and collaboration skills.