
Data Science and Machine Learning Implementation Specialist
3 days ago
Job Overview
">As a senior solutions architect in data science and machine learning, you will be responsible for collaborating with clients on short to medium-term customer engagements. Your key objectives include developing impactful data science and machine learning use cases, including solution architecture, MLOPs frameworks, MVPs, and production-grade applications.
">Key Responsibilities
">- ">
- Develop impactful data science and machine learning use cases, including solution architecture, MLOPs frameworks, MVPs, and production-grade applications.">
- Guide strategic customers through the design, build, and deployment of industry-leading AI applications.">
- Consult on ML architecture and design, implementing strategic customer projects that lead to successful understanding, evaluation, and adoption.">
- Provide escalated support for customer operational issues.">
Requirements
">Experience in customer-facing roles, technical architecture, or consulting in ML Engineering or Data Science is preferred. You should be comfortable writing code in Python or Scala, possess technical project delivery experience, manage scope, and timelines. Additionally, documentation and white-boarding skills are necessary, as well as conflict management and client relations experience.
">Benefits
">Opportunities to work with leading-edge technologies and innovations await you. This challenging and rewarding role offers opportunities for growth and development within a collaborative and dynamic team environment.
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