What we are asking you to do!
- Explore vast, untapped data assets and provide strategic recommendations on AI initiatives to senior leadership.
- Conduct in-depth applied research and implement AI solutions across diverse products and services.
- Create, and maintain evaluation pipelines and tools for assessing AI models’ performance and accuracy.
- Collaborate with Engineering leadership to ensure seamless integration of AI capabilities into existing systems and offerings.
- Design and execute a comprehensive AI strategy that aligns with the company’s business objectives.
- Engage with key stakeholders to ensure AI initiatives meet company goals, and effectively communicate results to both technical and non-technical audiences.
- Ensure all AI applications adhere to ethical standards, industry best practices, and legal requirements.
- Partner with Product Management and Engineering teams to develop a roadmap for the delivery of AI and machine learning tools.
- Collaborate with Data Engineering to build a cutting-edge data platform that unlocks the full potential of the company's data.
- Serve as a thought leader in AI and data science, driving innovation and staying ahead of industry trends to enhance existing products.
What we are asking you to bring!
- M.Sc. degree in computer science, engineering or a related field.
- Minimum 8 years of experience in data science and machine learning.
- Proven track record in building and releasing AI/ML commercial products and services.
- Proficiency in Python (scikit-learn, SciPy, NumPy, PyTorch, TensorFlow) and/or R programming language, along with SQL.
- Deep knowledge of traditional and modern AI/ML algorithms and data modelling strategies.
- Strong problem-solving, analytical, and project management skills.
- Excellent communication and cross-functional collaboration abilities.
- Demonstrable AI projects showcasing innovation and business impact.
What makes you stand out! (Bonus points)
- Ph.D. in computer science, engineering or a related field.
- Publications in machine learning and artificial intelligence conferences and journals.
- Experience fine-tuning, integrating and productionalizing LLMs.
- Knowledge of ML systems design.
- Familiarity with deploying models into productions using MLOps technologies (e.g. MLFlow, KubeFlow etc).
- Leadership experience in a team-oriented workplace.
- Experience in supply chain management, distribution systems, rebate management, or related industries.
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