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

Design and deploy responsible AI systems, personalizing solutions to meet client objectives through strategic planning and rigorous assessment

Champion company-wide AI integration, driving innovation with tailored products and solutions

Analyze client business problems and outline how ML/AI frameworks address them effectively

Collaborate with data scientists and engineers, offering mentoring and leadership to strengthen team performance

Monitor advancements in ML/AI technology and advocate for compliant, cutting-edge practices

Facilitate alignment between business, legal, and technical teams for efficient project execution

Develop ML tools, manage project scopes, and guide teams from sales engagement through solution delivery

Establish meaningful client partnerships to ensure their continued satisfaction and trust

Engage senior-level client stakeholders, fostering confidence in the integration of AI across their organizations

Support client acquisition efforts by assessing data-driven opportunities, participating in RFPs, and crafting compelling proposals

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

3+ years holding leadership positions such as Lead, Manager, or Architect in Agile or hybrid settings

History of managing teams with at least 20 members

Involvement in a minimum of five full project lifecycles or significant product launches

Significant leadership experience in fields such as Data Analytics, Machine Learning, and AI

Proven record of successfully designing and implementing ML/AI systems

In-depth knowledge of Machine Learning, including deep learning, statistical methods, and diverse ML models

Competency in engaging senior-level stakeholders to secure project buy-in or funding

Strong communication skills for explaining intricate technical ideas to varied audiences

Proficiency in Python and ML tools like PyTorch or TensorFlow

Capability to translate intricate business demands into actionable ML/AI designs

Familiarity with regulated industries or experience in regulatory-focused technology applications

Understanding of cloud platforms—including AWS, Azure, or GCP

Advanced proficiency in English to enable seamless communication and collaboration

Showcase of additional certifications in Data Science or Machine Learning

Familiarity with presenting or leading workshops on AI and related fields