
Principal Machine Learning Engineer
2 weeks ago
Data Scientist Role Overview:
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- Serve as primary technical expert for enterprise customers, building trusted relationships with stakeholders from technical teams to C-level executives.">
- Architect end-to-end machine learning solutions, including predictive models, recommendation systems, and generative AI applications tailored to customer use cases.">
- Lead proof-of-concepts, pilot deployments, and production implementations while ensuring seamless integration with customer systems.">
Key Responsibilities:
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- Collaborate with cross-functional teams to design, implement, and deliver tailored AI/ML solutions that drive measurable business outcomes.">
- Conduct data assessments, provide machine learning strategy recommendations, and guide customers through model lifecycle management.">
- Mentor customer teams and build internal data science capabilities through training and best practices sharing.">
- Gather customer feedback to enhance existing solutions and identify new product opportunities.">
Required Qualifications:
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- Bachelor's in Data Science, Computer Science, Statistics, or a 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.">
Technical Skills:
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- 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:
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- 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.">
What We Offer:
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- Opportunity to work in Generative AI.">
- A global workforce.">
- 100% work from home.">
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