Senior AI Engineer
$132,200.00 - $165,300.00 / year
Apply (opens in a new tab)Senior AI Engineer
Posted today
SENIORITY
Lead
SALARY
$132,200.00 - $165,300.00 / year
About the role
- Engage in proof of concepts and experiments to evaluate new models and technology.
- Develop high quality, standard-compliant, tested code.
- Contribute code and tools to central re-usable libraries and repositories and open-source projects.
- Develop data models, model features, data quality tests, ETL/ELT pipelines, and distributed computer architectures.
- Deploy algorithmic products across the clouds, skillfully leveraging cloud-native services.
- Works on advanced analytics use cases together with Data Scientists, Analysts, peer AI Engineers; engages in proof of concepts and experiments together to deliver new analytical algorithms and applications
- Prepares data models and quality checks, optimizes analytical solutions at scale
- Designs and develops applications that source data from various systems, programming in Python and SQLSupports solutions in multi-cloud environments and services – in Azure (e.g. Databricks, Azure ML, AKS, ADF) and / or in GCP (e.g. Composer, BigQuery, GKE, Kubeflow)
- Operates according to DevOps practices, Agile (Jira), uses CI/CD (GitHub Actions), increases reusability of code and design patterns from internal code libraries
- Operationalizes Machine Learning models as integral element of IT solutions & business process.
- Implements best Platform Engineering practices to make cloud infrastructure “invisible” for data scientists and model developers
- Troubleshoots infrastructure related issues to enable most critical Artificial Intelligence products at P&GProactive incident detection systems based on multiple data sets, real-time data stream analyses
- Crafts and develops proof of concept or prototypes for new features or solutions, suggests and implements architecture improvement, and has responsibility for strengthening DevOps best practices within AI Engineering by coaching/teaching others
- A Bachelors or Master’s degree in Computer Science, Software Engineering or related field 5+ years of proven experience in Python & SQL, data modelling, design, development, and deployment of Data and Analytics products
- Experience in Agile and DevOps methodologies – knowledge of using appropriate tools – e.g. Jira, GitHub Actions, unit testing & mocking, static code analysis (e.g. Sonarqube), source control management tools (e.g. GitHub)
- Azure cloud infrastructure knowledge (including load balancing, autoscaling, firewalls, and authentication)
- Databricks knowledge
- Logging and monitoring technologies knowledge (depending on the needs, from Logstash to Grafana, Kibana)CI/CD processes knowledge and development using GitHub Actions and GitHubInfrastructure build tools and languages knowledge – Terraform, Ansible
- Strong written and verbal communication in English
- Ability to work a hybrid schedule in Cincinnati, OH based office.
Before you apply
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Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
