AI Leader

1 week ago

Anand, Gujarat, India beBeeData Full time US$ 1,60,000 - US$ 2,00,000
Senior AI Strategist Position Overview

We are seeking a client-focused Senior Data Scientist to serve as the primary technical expert for our enterprise customers.

This role combines deep ML expertise with exceptional client relationship skills to design, implement, and deliver tailored AI/ML solutions that drive measurable business outcomes.

Main Responsibilities
  • Serve as primary technical contact for enterprise customers, building trusted relationships with stakeholders from technical teams to C-level executives.
  • Architect end-to-end ML 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.
  • Conduct data assessments, provide ML 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.
Qualifications and Skills

Educational Background & Experience

  • Master'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.

Tech Expertise & Tools

  • 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 Acumen & Soft 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.

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