If you are passionate about driving solutions using data and artificial intelligence, then you have found the right team.

As an Applied AI ML Director, you will be leading an applied AI team at the forefront of innovation, leveraging cutting-edge technologies to improve the Software Engineering processes and practice. You will be interacting with software engineers, business stakeholders, and machine learning engineers and researchers, to identify opportunities for efficiency improvements in the different parts of the software development lifecycle. This role requires a deep understanding of machine learning algorithms and solutions, and the ability to drive projects from concept to production.

Job Responsibilities

Formulates, communicates, and drives implementation of AI solutions for challenging problems in the intersection of our supported business and software engineering Builds robust, scalable, and reusable AI and ML capabilities Works with software engineering to design and deploy services that can be integrated with strategic systems and processes Leads and mentors members of the AI team to ensure successful delivery  Learns about and understands our supported business to drive practical and successful solutions Conducts comprehensive data analysis, identifying trends, patterns, and anomalies to support strategic decision-making.  Documents and explains the rationale and design considerations behind the selection of ML approaches Engages and communicate proactively solutions and status of the project to senior management and stakeholders

Required qualifications, capabilities, and skills

Proven years of experience with Master’s or PhD in an ML-related field Experience with Natural Language Processing and LLMs, deep learning, experimental design and A/B testing, recommender systems or other deployed data products Proficient understanding of fundamental AI and ML techniques Practical experience with statistical data analysis and experimental design Programming skills in Python Experience as a Team Leader and Mentor Ability to interpret business stakeholder requests and translate business problems into solvable data science problems, choose and correctly utilize appropriate methodology Effective verbal and written communication skills with technical and business audiences Demonstrated ability to work on multi-disciplinary teams with diverse backgrounds

Preferred qualifications, capabilities, and skills

Research or work experience in using AI and ML for Software Engineering Excellent communication & presentation skills, strong client partnership & stakeholder and project management skills