
Chief AI Innovation Officer
2 weeks ago
About the Role:
- We are seeking an experienced data scientist to serve as a key technical expert for our enterprise customers.
Job Description:
- This role combines deep machine learning expertise with exceptional client relationship skills to design, implement, and deliver tailored AI/ML solutions that drive measurable business outcomes.
Responsibilities:
- Client Engagement: Serve as primary technical contact for enterprise customers, building trusted relationships with stakeholders from technical teams to C-level executives.
- Solution Design: Architect end-to-end ML solutions, including predictive models, recommendation systems, and generative AI applications tailored to customer use cases.
- Implementation Leadership: Lead proof-of-concepts, pilot deployments, and production implementations while ensuring seamless integration with customer systems.
- Technical Consulting: Conduct data assessments, provide ML strategy recommendations, and guide customers through model lifecycle management.
- Knowledge Transfer: Mentor customer teams and build internal data science capabilities through training and best practices sharing.
- Product Development: Gather customer feedback to enhance existing solutions and identify new product opportunities.
Requirements:
- Masters in Data Science, Computer Science, Statistics, or related quantitative field.
- 5+ years hands-on data science experience with 2+ years in customer-facing or consulting roles.
- Proven track record delivering ML solutions in production environments.
Skills:
- Programming: Advanced Python/R, strong SQL capabilities.
- ML Expertise: Deep learning, NLP, traditional ML algorithms, and generative AI/LLMs.
- Frameworks: TensorFlow, PyTorch, scikit-learn, cloud ML services (AWS/Azure/GCP).
- Tools: MLOps platforms, data visualization tools, big data technologies.
Business Skills:
- Exceptional communication and presentation abilities for technical and non-technical audiences.
- Strong project management and stakeholder relationship skills.
- Customer-centric problem-solving mindset.
- Ability to translate business requirements into technical solutions.
Success Metrics:
- Customer satisfaction and retention rates.
- Successful ML solution deployments from concept to production.
- Revenue growth within assigned accounts.
- Effective knowledge transfer and capability building.
What We Offer:
- A global workforce.
- 100% work from home.
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