AI/ML Software Engineer

Emploi pas sur LinkedIn

🔥 il y a 17 heures

🏄 California – Distant

infoinfo

💵 $200 000 - $250 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🧑‍💻 Développeur Full-Stack

🗣️🇺🇸🇬🇧 Anglais requis

Airflow

Amazon Redshift

BigQuery

Cassandra

ElasticSearch

Hadoop

Kafka

Python

Spark

SQL

D'où vient cette offre

Publiée sur la page carrières de ASG Technologies, pas via un site d'emploi

Repérée par Remote Rocketship il y a 17 heures

Toujours ouverte sur le site de ASG Technologies. Vérifiée il y a 2 heures.

Logo of ASG Technologies

ASG Technologies

1001 - 5000 employés

🏥 Santé

🛡️ Assurance

💼 Conseil

💰 Funding Round en 2017-04

Healthcare • Insurance • Consulting

ASG Technologies est un fournisseur de premier plan de solutions logicielles qui permettent aux entreprises de moderniser leurs opérations informatiques et d'optimiser leurs stratégies cloud. Leurs produits se concentrent sur les solutions cloud hybrides, la sécurité et la conformité, et les efficacités d'automatisation, permettant aux entreprises de rationaliser leurs opérations et d'améliorer leur sécurité face aux évolutions du marché. Avec un fort accent sur l'intégration des environnements mainframe et cloud, ASG fournit des outils qui non seulement sécurisent les données mais aussi augmentent la productivité et l'innovation dans divers secteurs.

Description

• Lead AI/ML and data engineering projects across ASG portfolio companies • Partner with operating companies to design, build, and deliver solutions • Build data pipelines, model integrations, internal LLM applications, APIs, and supporting infrastructure • Develop LLM-powered tools and workflows for business operations, productivity, and product capabilities • Identify opportunities to commercialize data through products, features, and analytics offerings • Advise engineering and data teams on AI and data adoption • Share practical guidance, examples, and best practices for AI/ML and data engineering • Support training sessions, workshops, and working sessions • Establish repeatable patterns, playbooks, and best practices for AI/ML and data solutions • Collaborate with portfolio leadership, product stakeholders, and engineering teams • Own delivery from scoping through production handoff, including knowledge transfer

🎯 Exigences

• Demonstrated experience deploying machine learning, data engineering, and applied AI solutions at scale • Familiarity with LLM-based applications, model APIs, retrieval workflows, evaluation approaches, and production deployment patterns • Production experience with several technologies including Bedrock, SageMaker, Vertex AI, Glue, Airflow, Spark, Hadoop, Storm, time series databases, Parquet, Iceberg, Redshift, Kafka, Kinesis, BigQuery, Cassandra, OpenSearch/Elasticsearch, dbt, Monte Carlo, and Databricks • Experience developing solutions and analyzing data in Python, R, and SQL • Excellence in data validation for LLM and ML solutions • Understanding of LLM fine-tuning and inference economics • Experience developing reliable forecasting solutions • Experience translating business problems and data opportunities into practical AI/ML solutions • Knowledge of modern data architecture across ingestion, transformation, governance, quality, and access • Strong judgment regarding model performance, system reliability, security, and maintainability in production • Ability to stay current with AI tooling, LLMs, and applied ML systems • Strong communication skills with engineering, product, data, and business stakeholders • Comfort supporting cross-company enablement through knowledge sharing and practical guidance • Ability to switch contexts and operate across multiple companies, teams, and priorities

🏖️ Avantages

• Annual bonus • Employer-paid benefits • L&D stipend • Incentive pay for eligible roles • Competitive total rewards package

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