Senior Software Engineering Manager - AI

Key Responsibilities:

• Lead, mentor, and grow a team of applied scientists and machine learning engineers.

• Foster a collaborative and innovative team culture.

• Set clear goals and expectations for team members, providing regular feedback and performance reviews.

• Develop and manage research plans, ensuring timely delivery of high-quality platform-level AI solutions.

• Collaborate with stakeholders to understand business needs and translate them into technical requirements.

• Communicate complex technical concepts and project status to non-technical stakeholders.

• Work closely with cross-functional teams, including applied scientists, machine learning engineers, software engineers, and product managers, to integrate AI-based capabilities into Diligents products.

• Oversee the design and development of machine learning approaches for various applications.

• Lead projects focusing on complex legal and regulatory language within the GRC industry, ensuring accurate and relevant model outputs.

• Guide the testing and evaluation of model performance.

• Maintain stringent privacy and security measures when working on projects involving sensitive customer content used for board communications.

• Stay up-to-date with the latest research and developments in machine learning and AI, incorporating new knowledge into the teams work.

Basic Qualifications:

• 5+ years of hands-on experience in data science, applied science, machine learning, or related discipline.

• 3+ years of experience leading applied science, data science, or machine learning teams.

• Experience with Python, NumPy, scikit-learn, Pandas, NLTK, spaCy, PyTorch, or similar.

• Experience with model deployment and scaling.

• Foundational knowledge in NLP, machine learning, and statistical modeling.

• Experience in building ML/AI pipelines and relevant tools such as MLFlow, AWS SageMaker, or similar.

Preferred Qualifications:

• Hands-on experience with LLMs including prompt engineering, fine-tuning, model evaluation, and building RAG-based functionality.

• Experience with semantic search and information retrieval systems.

• Familiarity with reinforcement learning methods.

Educational Requirements:

• Bachelor s degree in Computer Science, Machine Learning, Mathematics, or a related field.

• Master s or PhD preferred.

Soft Skills:

• Strong analytical and problem-solving skills.

• Excellent communication and collaboration abilities.

• Self-motivated with a proactive approach to project management.

• Ability to work effectively in a hybrid or remote environment.