
Chief Machine Learning Architect
1 day ago
Job Overview
We are seeking a skilled professional to fill the role of Senior Data Scientist.
This position combines deep expertise in machine learning with exceptional relationship-building skills to design, implement, and deliver tailored AI/ML solutions that drive measurable business outcomes.
Key Responsibilities
- Serve as primary technical contact for clients, building trusted relationships with stakeholders from technical teams to executive leaders.
- Develop end-to-end ML solutions, including predictive models, recommendation systems, and generative AI applications tailored to client needs.
- Lead proof-of-concepts, pilot deployments, and production implementations while ensuring seamless integration with client systems.
- Analyze data, provide ML strategy recommendations, and guide clients through model lifecycle management.
- Mentor client teams and build internal data science capabilities through training and best practices sharing.
- Gather client feedback to enhance existing solutions and identify new product opportunities.
Required Qualifications
Education & Experience
- Master's degree in Data Science, Computer Science, Statistics, or a related quantitative field.
- 5+ years hands-on experience in data science, with 2+ years in client-facing or consulting roles.
- Proven track record of delivering ML solutions in production environments.
Technical 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.
- Client-centric problem-solving mindset.
- Ability to translate business requirements into technical solutions.
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