4 hours ago
Base Salary
$200k - $250k/yr
Responsibilities
- Lead and deliver AI/ML and data engineering projects across ASG portfolio companies.
- Build data pipelines, model integrations, internal LLM applications, APIs, and scalable supporting infrastructure.
- Develop LLM-powered tools and workflows for business operations, internal productivity, and product capabilities.
- Identify opportunities to commercialize data through new products, features, and analytics offerings.
- Own delivery from project scoping through production handoff and structured knowledge transfer.
- Advise engineering, data, product, and business stakeholders on practical AI/ML and data adoption.
- Create repeatable patterns, playbooks, and best practices for building and deploying AI/ML and data solutions.
- Support training sessions, workshops, enablement, and knowledge sharing across portfolio companies.
- Develop forecasting solutions for metrics such as sales, budgets, resource consumption, demand, and capacity.
- Ensure production solutions meet expectations for data validity, model performance, reliability, security, and maintainability.
Requirements
- Demonstrated experience deploying machine learning, data engineering, and applied AI solutions for customer and business challenges at scale.
- Experience with LLM-based applications, model APIs, retrieval workflows, evaluation approaches, and production deployment patterns.
- Production experience with several listed technologies, including Bedrock, SageMaker, Vertex AI, Glue, Airflow, Spark, Hadoop, Storm, Redshift, Kafka, Kinesis, BigQuery, Cassandra, OpenSearch, Elasticsearch, dbt, Monte Carlo, and Databricks.
- Experience developing solutions and analyzing data with Python, R, and SQL.
- Experience with LLM fine-tuning, inference economics, and selecting between frontier models, smaller models, and open-source models.
- Experience developing reliable forecasting solutions for varied business metrics.
- Knowledge of modern data architecture across ingestion, transformation, governance, quality, and access.
- Ability to translate business problems and data opportunities into practical AI/ML solutions.
- Strong judgment regarding model performance, system reliability, security, and maintainability in production.
- Strong communication skills and ability to collaborate with engineering, product, data, and business stakeholders.
- Ability to support cross-company enablement through training, knowledge sharing, collaboration, and practical guidance.
- Ability to switch contexts and operate effectively across multiple companies, teams, and priorities.
Benefits
- Target base salary range of $200,000–$250,000, plus annual bonus, employer-paid benefits, L&D stipend, and incentive pay for eligible roles.
- Compensation is reviewed annually and may vary based on experience, location, internal pay equity, and other business considerations.
Tech Stack
Amazon RedshiftApache AirflowApache CassandraApache HadoopApache KafkaApache SparkApache StormDatabricksdbtElasticsearchGoogle BigQueryPythonRSQL
Categories
About ASG
We believe the future belongs to AI-native companies. With deep technical and operational expertise, ASG rapidly transforms how teams operate, products are built, and go-to-market engines grow. At the center of that work are our people: the founders whose legacies we honor, the leaders whose potential we help unlock, and the teams who move our businesses forward. Founded in 2016 and backed by Alpine Investors, ASG has acquired more than 65 businesses across 15+ verticals with a global footprint, helping build stronger, more durable companies positioned for long-term growth. Let’s build together.