Salary
💰 $111,300 - $222,700 per year
Tech Stack
AzureCloudPython
About the role
- Lead AI/ML Platform & Engineering strategy, including Generative AI and Advanced Analytics.
- Drive alignment on architecture adoption and realization, partnering with business leaders.
- Offer thought leadership and technical advice to business and tech leadership.
- Develop Technical Architecture standards and guidelines based on industry trends.
- Collaborate with data scientists and engineers to build production-level models and pipelines.
- Optimize AI/ML processes and assist in model performance monitoring with operations team.
- Communicate effectively with non-IT stakeholders to define technical solutions.
- Facilitate product selection in alignment with Architecture Standards.
- Mentor junior engineers and collaborate with company leaders to address business problems.
Requirements
- Bachelor’s degree in a related field; advanced degree preferred.
- 10+ years of experience, Master’s Degree with 7+ years of related experience, or Ph.D. with 2+ years of related experience.
- Experience in building and deploying Machine Learning solutions using various ML algorithms.
- Hands-on experience with Python programming.
- Experience in building IT use cases/solutions around AI/ML cognitive services and platforms.
- Model productionization and CICD Automation experience.
- Excellent understanding of Machine Learning techniques; proficiency in feature analysis, algorithm selection and model hyperparameter tuning.
- Experience of senior executive/leadership engagement.
- Exposure to architecture practices and frameworks: business, application, data, security, infrastructure and governance.
- Experience with NLP/NLG, AI Conversational Agents & Other Generative AI.
- Experience with Software development lifecycles.
- Experience with Azure OpenAI, Azure Databricks, CloudDBs.
- Experience in reviewing and selecting Technical and Applications Architectures solutions.
- Certifications and specializations in AI/ML, LLMs and Cloud platforms (preferred).
- Excellent oral, written and presentation communication skills.
- Preferred team leadership experience and demonstrated mentorship capabilities.