Role OverviewDrive enterprise transformation by architecting and implementing advanced AI and analytics solutions that address complex business challenges. Lead the design, configuration, and deployment of predictive analytics, machine learning models, and intelligent automation frameworks to enable data-driven decision-making at scale.
What You Will Do
Architect and implement end-to-end AI solutions, including data ingestion, feature engineering, model training, deployment, and monitoring. Enable predictive analytics, machine learning, and intelligent automation frameworks to support enterprise-scale decision-making.
Why It Might Be a Fit
As a technical thought leader, collaborate with cross-functional teams to deliver robust, cloud-native architectures leveraging AI technologies, big data platforms, and modern engineering practices. Champion innovation and ensure alignment with enterprise objectives through rigorous governance and architectural excellence.
Requirements
- 7-10+ years of experience in engineering and integration technology and/or software development, progressing in complexity and responsibility.
- Ability to communicate and articulate technical information across various organizational teams and levels.
- Proven high reasoning aptitude and ability to quickly understand and respond in complex operating environments.
- Ability to coach and mentor experienced engineering staff.
- Ability to think strategically and solve complex business and technical problems.
- Advanced knowledge in Cloud-native architectures (Azure/AWS/GCP).
- Experience MLOps frameworks for CI/CD, model versioning, and automated retraining.
- Expertise in ML frameworks (TensorFlow, PyTorch) and distributed computing (Spark, Ray) and Data platforms (Denodo, Dataiku, Snowflake, BigQuery).
Benefits
- vacation time
- sick time
- 401(k)
- health insurance
- dental insurance
- life insurance
- bonus
- commissions
- long-term incentives
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