- Engage with potential clients to understand their data science & analytics needs and challenges, acting as a trusted advisor
- Craft innovative data science and AI solutions that address client's needs
- Design end-to-end AI/ML and advanced analytics architectures
- Create compelling proposals and presentations that communicate our value proposition effectively
- Present solutions to C-level executives and technical stakeholders, articulating business value and technical feasibility
- Stay informed about emerging trends in AI/ML, deep learning, cloud computing, and modern data architectures to influence solution strategy
- Partner with Product engineering, and delivery teams to ensure alignment between solutions and execution capabilities
- Develop reusable frameworks, accelerators, best practices and participate in thought leadership activities
Qualifications & Experience:
- 13+ years of experience in data science, AI/ML or enterprise analytics, with at least 5 years in solution architecture role
- Proven expertise in designing and architecting AI/ML and data science solutions across modern cloud platforms (AWS, Azure, GCP) and big data ecosystems
- Hands-on knowledge of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn), data science platforms (Databricks, Snowflake, SageMaker), and data visualization tools
- Strong understanding of MLOps, model governance, data governance, security, and compliance considerations
- Excellent communication and presentation skills, with the ability to engage both technical and non-technical audiences
- Strong problem-solving and adaptability skills with an ability to work independently and as part of a team
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