- Demonstrated experience in deploying machine learning, data engineering, and applied AI solutions to solve customer and business challenges at scale
- Familiarity with LLM-based applications, model APIs, retrieval workflows, evaluation approaches, and production deployment patterns
- Have developed production solutions with several (but certainly not all) of the following technologies: Bedrock, Sagemaker, Vertex AI, Glue, Airflow, Spark, Hadoop, Storm, time series databases, Parquet, Iceberg, Redshift, Kafka, Kinesis, Big Query, Cassandra, Open/Elastic Search, dbt, Monte Carlo and Databricks
- Experience developing solutions and analyzing data in Python, R and SQL
- Excellence in data validation – ensuring solutions developed with LLM and ML technologies produce results that are valid and grounded in reality
- Understanding of fine tuning an LLM and strong understanding of inference economics and good judgment about when it’s better to use a frontier model or fine tune a smaller or open source model
- Experience with developing solutions to reliably perform forecasting of various metrics (such as: sales projections, budget forecasts, resource consumption, demand forecasting, capacity planning, etc)
- Experience translating business problems and data opportunities into practical AI/ML solutions
- Knowledge of modern data architecture and best practices across ingestion, transformation, governance, quality, and access
- Strong judgment around model performance, system reliability, security, and maintainability in production environments
- Curiosity and discipline to stay current with the latest advancements in AI tooling, LLMs, and applied ML systems
- Strong communication skills, with the ability to work effectively with engineering, product, data, and business stakeholders
- Comfortable supporting cross-company enablement through knowledge sharing, collaboration, and practical guidance
- Comfortable switching contexts quickly and operating effectively across multiple companies, teams, and priorities
Base Salary Range The target salary range for this position is ($200,000 – $250,000), and is part of a competitive total rewards package including an annual bonus, employer-paid benefits, L&D stipend and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay.
A Secure Candidate Experience All official emails and messages regarding opportunities at ASG, LLC, will come from our alpinesg.com email domain. Please be wary of communications from similar domains that may contain misspellings or slight variations. These could be attempts at phishing or impersonation. ASG will never ask you for sensitive personal information during the hiring process such as social security numbers, banking information or other personal details.