Senior Machine Learning Engineer
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Job Location:
Chicago, IL - USA
Yearly Salary:
USD 6 - 10
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
We are seeking a Senior ML Engineer to join our Identification this role you will focus on designing building and maintaining production-grade ML solutions and infrastructure that power our fraud detection solutions.
You will collaborate closely with other team members to architect solutions that are reliable scalable and efficient. You will own features from concept to deployment and ensure seamless integration with other components in our platform.
Types of Projects and Impact:
- Take AI & ML applications from prototype to production partnering closely with Data Scientists and cross-functional teams to ensure robust and performant deployment of machine learning solutions
- Lead development for ML systems: Design build and maintain production-grade ML systems with a focus on performance scalability and maintainability
- Architect end-to-end ML infrastructure: Own the full lifecycle of ML solutions from feature engineering and data pipelines to model serving CI/CD observability and retraining
- Collaborate across teams: Work closely with data scientists data engineers platform teams and business stakeholders to deliver solutions that align with product and business needs
- Champion MLOps best practices: Establish & maintain infrastructure/tooling for versioning experimentation testing deployment and monitoring of ML models
- Enable reproducibility and scale: Develop reusable components templates and automation to scale ML development across use cases and teams
- This role includes participation in a shared on-call rotation. The schedule will be communicated in advance and we strive to balance coverage equitably while minimizing off-hours disruptions.
Required Skills:
- BS/MS in Computer Science Data Science or a related field or equivalent work experience
- 6-10 years of experience as an ML Engineer
- Experience establishing and driving best practices for ML/MLOps in a growing technology organization
- Strong understanding of core ML concepts including supervised and unsupervised learning model evaluation and feature engineering
- Hands-on experience with modern ML frameworks such asCatBoostLightGBMTensorFlow orPyTorch and with large-scale data processing and transformation pipelines for training and serving models
- Experience deploying models to cloud platforms such asAWSGCP orAzure using tools likeSageMakerVertex AI orAzure ML.
- Experience leveraging containerization and orchestration technologies such as Docker and Kubernetes
- Experience with CI/CD pipelines and MLOps tooling (e.g.MLflowFeastWeights & Biases).
- Ability to thrive in ambiguous environments where you get to work directly with stakeholders with minimal guidance and direction
- Proficient in English for clear communication in a global remote team
Nice to Have:
- Experience working with GoLang or similar languages
- Experience working with Vector Databases such as Pinecone Qdrant or similar technologies
- Practical experience with analytical storage systems like ClickHouse Snowflake BigQuery Redshift or Databricks.
- Experience with data transformation frameworks like dbt or other data pipeline tools.
- Familiarity with data visualization tools such as Apache Superset Tableau or Looker.
Technologies You Will Work With:
- Backend development: Python GoLang
- ML frameworks: CatBoost PyTorch
- Cloud platforms: AWS
- Data analytics/processing: ClickHouse dbt Apache Superset.
For US-based employees the cash compensation range for this role is$185000-$200000 .We set standard ranges for all US roles based on function level and geographic location benchmarked against similar stage growth companies. To comply with local legislation and provide greater transparency to candidates we share salary ranges on all job postings regardless of desired hiring location. Howeverthese ranges are specific to the hiring location and may differ within or outside the US.Final offer amounts are determined by multiple factors including geographic location as well as candidate experience and expertise and may vary from the amounts listed above.
Required Experience:
Senior IC
Key Skills
- Industrial Maintenance
- Machining
- Mechanical Knowledge
- CNC
- Precision Measuring Instruments
- Schematics
- Maintenance
- Hydraulics
- Plastics Injection Molding
- Programmable Logic Controllers
- Manufacturing
- Troubleshooting
About Company
The Fingerprint device intelligence platform works across web and mobile applications to identify all visitors with industry-leading accuracy — even if they’re anonymous.
