
AI Innovations Director
2 days ago
We are seeking a seasoned AI expert to spearhead our cutting-edge data science initiatives.
About the RoleThis highly visible position demands technical leadership, innovation and collaboration to develop groundbreaking AI solutions. As a key player in our team you will work closely with world-class talent, driving strategic direction and delivering impactful projects. You will be at the forefront of AI innovation, leveraging multimodal datasets to build transformative solutions over a multi-year roadmap. In addition, you will mentor junior and mid-level data scientists and foster best practices within the team.
Key Responsibilities- Design, develop and deploy state-of-the-art AI/ML solutions using advanced algorithms and libraries to solve complex problems for our clients.
- Provide technical guidance and mentorship to a team of data scientists, promoting a culture of continuous learning, innovation and excellence.
- Collaborate with product teams to define, prioritize and deliver advanced AI features for marketing applications, ensuring alignment with business objectives.
- Drive analysis of large multi-modal datasets, identifying key insights and features that inform the development of robust downstream AI models.
- Architect and implement integrated AI solutions by combining fine-tuned LLMs, machine learning models and custom algorithms to address complex marketing challenges at scale.
- Act as a subject matter expert, staying up-to-date with the latest trends in AI research and integrating them into our products and services, guiding the team on emerging technologies.
- Effectively communicate complex technical challenges, solutions and strategic recommendations to both technical and non-technical stakeholders, including senior leadership and clients.
- Champion best practices in MLOps, model governance, data quality and responsible AI, ensuring the scalability, reliability and ethical deployment of our solutions.
- At least 18 years of progressive experience in machine learning and data science, with a strong knowledge of algorithms, principles and their practical application.
- Demonstrated experience leading technical projects or initiatives, with a proven track record of building, deploying and maintaining machine learning models into production environments at scale.
- Hands-on experience with both structured and unstructured data, with a focus on multi-modal datasets.
- Deep expertise with deep learning models for either computer vision or natural language processing, and ideally experience combining both.
- Proficiency with the Python programming language, including experience with MLOps frameworks and cloud platforms (e.g., AWS, GCP, Azure).
- Knowledge of Git and collaboration principles, with experience in leading code reviews and promoting robust development practices.
- Exceptional communication, presentation and interpersonal skills, with the ability to influence and convey complex technical concepts to diverse audiences.
- Proven ability to mentor and guide junior team members.
- Strong problem-solving skills with an ability to tackle ambiguous and complex challenges.
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