Lead the development and implementation of ML/AI solutions, offering both technical expertise and strategic guidance

Design responsible AI systems tailored to client requirements through comprehensive planning and evaluation

Drive AI integration across organizational departments, shaping new products and solutions

Analyze complex business challenges to demonstrate the value of ML/AI solutions

Collaborate with data scientists and engineers, mentoring and empowering teams to maximize their capabilities

Track advancements in ML/AI technologies, promoting innovative strategies compatible with regulatory frameworks

Coordinate communication among business, legal, and technology stakeholders to ensure seamless transitions

Develop ML solutions while managing project scopes and overseeing teams from pre-sales to delivery

Build and nurture client relationships to maintain satisfaction and efficient communication

Engage with senior stakeholders to foster organizational commitment to AI adoption

Support sales and pre-sales initiatives by exploring data opportunities, addressing RFPs, and preparing proposals

8+ years of experience in IT with extensive background in Data Science

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

Management experience with teams of 20+ professionals

Completion of at least five full project cycles or major product launches

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

Showcase of designing and executing ML/AI solutions

Knowledge of Machine Learning, including deep learning, statistical methodologies, and diverse ML models

Capability to engage senior stakeholders and secure project funding or support

Competency in conveying complex technical concepts to varied audiences

Proficiency in Python and ML frameworks such as PyTorch or TensorFlow

Understanding of translating business requirements into scalable ML/AI solutions

Familiarity with regulatory environments or experience in regulated industries

Background in cloud platforms (AWS, Azure, or GCP)

Advanced proficiency in English for clear communication and professional relationship building

Showcase of additional certifications in Data Science or Machine Learning

Experience leading AI-related workshops or making public presentations