Job responsibilities
- Develop and deploy AI/ML solutions to address complex business problems and impactful needs.
- Build robust data pipelines and deliver advanced analytics by combining data engineering with AI/ML techniques.
- Engage in research and development of innovative AI/ML techniques.
- Create, document, and deliver AI/ML program updates for stakeholders.
- Implement and maintain efficient data pipelines using SDLC best practices.
- Develop, optimize, and execute for smooth data extraction, transformation, and reporting.
- Create dashboards and monitoring tools to support ongoing data quality and performance.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Work with team members to operationalize end-to-end AI/ML solutions.
- Collaborate with cross-functional teams to align with the mission and vision of the organization.
Required qualifications, capabilities, and skills
- Formal training or certification on Applied AI ML Associate Sr concepts and 3+ years applied experience
- Proven experience in data engineering and applied AI/ML.
- Strong skills in data wrangling, analysis, and modeling.
- Experience in developing scalable data systems and impactful AI/ML models.
- Ability to engage with stakeholders and translate business requirements into technical solutions.
- Strong collaboration skills to work across teams and drive strategic initiatives.
- Understanding of software quality, operational efficiency, and strategic goal achievement.
- Ability to address existing skill gaps and technical debt in data engineering and AI/ML.
- Experience in merging traditional data engineering with AI/ML-driven solutions.
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies
- Exposure to cloud technologies