Lead the creation, development, and implementation of ML/AI solutions by providing technical leadership and strategic guidance

Design and deploy ethical AI systems, tailoring strategies to fit client requirements through detailed planning and evaluation programs

Champion AI integration across various departments, introducing innovative products and solutions

Analyze client business obstacles and demonstrate how ML/AI approaches can effectively address those challenges

Collaborate closely with data scientists and engineers, offering leadership and mentorship to strengthen team expertise

Research emerging trends in ML/AI technology, advocating for forward-looking practices in alignment with regulatory standards

Facilitate communication across business, legal, and tech teams to ensure seamless project transitions

Develop machine learning solutions while managing project scopes and team direction from the sales phase to project execution

Build and sustain robust client relationships, ensuring consistent communication and satisfaction

Engage senior-level client stakeholders to foster enthusiasm for AI adoption across their organizations

Support sales and pre-sales functions by evaluating data opportunities, addressing RFP requirements, and preparing proposal presentations

8+ years of experience in IT, with a robust background in Data Science

3+ years of experience in leadership roles such as Lead, Manager, or Architect within Agile or blended environments

Management experience with teams of 20 or more members

Completion of 5+ full project cycles or major product rollouts

Extensive leadership expertise in Data Analytics, Machine Learning, and AI

Proven capability to design and implement ML/AI solutions

Knowledge of Machine Learning, including deep learning, statistical methods, and various ML models

Competency in influencing senior stakeholders for securing project resources or funding

Strong communication skills suitable for explaining complex technical concepts to diverse audiences

Proficiency in Python and ML frameworks like PyTorch or TensorFlow

Flexibility to use complex business requirements to develop practical ML/AI solutions

Familiarity with operations in highly regulated industries or reg-tech roles

Understanding of cloud platforms (AWS, Azure, or GCP)

Advanced proficiency in English to support clear communication and relationship-building

Qualifications in Data Science or Machine Learning through additional certifications

Showcase of public speaking experience or leading workshops on AI-related subjects