Key Role: AI & ML Solutions Engineer
This is a high-impact position for someone who excels at the intersection of technical expertise, data-driven insights, and business outcomes.
We are seeking a skilled technologist to lead the design, development, and deployment of AI/ML solutions across various business functions.
Responsibilities:
* Develop and maintain AI/ML solutions using Databricks, Azure, MLflow, and Snowflake.
* Experiment with new technologies and deliver results quickly by running proof-of-concepts and scaling successful ideas into production.
* Automate business processes through the development of Python/R-based workflows, ML pipelines, and API endpoints.
* Collaborate with cross-functional teams to translate business challenges into technical solutions.
* Enhance team capabilities by sharing best practices and contributing to a culture of continuous learning and delivery.
Required Skills:
* Strong background in data science, machine learning engineering, or full-stack AI solutioning.
* Experience with end-to-end ML pipeline delivery from data preparation and feature engineering to deployment and monitoring.
* Proficiency in Python and familiarity with Databricks, Snowflake, and cloud-native workflows.
* Understanding of GenAI tools and frameworks, including exposure to building or experimenting with LLM-based applications.
* Ability to work effectively with stakeholders, frame business problems, and deliver outcomes.
* Comfortable with rapid prototyping and iterating based on feedback.
Preferred Qualifications:
* 3–5+ years of experience in AI/ML solutioning.
* Experience with MLOps practices, including model promotion, versioning, retraining, and feature stores.