Fraud Detection β’ Anti-Money Laundering β’ Document Verification β’ Know Your Customer β’ Identity Verification
4 days ago
πΊπΈ United States β Remote
π΅ $160k - $190k / year
β° Full Time
π Senior
π€ Machine Learning Engineer
π¦ H1B Visa Sponsor
Airflow
Amazon Redshift
Apache
AWS
Cloud
Docker
DynamoDB
Grafana
Kafka
Kubernetes
Prometheus
PyTorch
Scikit-Learn
Spark
Tensorflow
Terraform
Fraud Detection β’ Anti-Money Laundering β’ Document Verification β’ Know Your Customer β’ Identity Verification
β’ Develop feature engineering strategies and solutions to support machine learning models β’ Design and implement robust and scalable systems for efficient model inference β’ Build and maintain infrastructure supporting feature engineering, model serving, Gen-AI agents, and related components across the machine learning lifecycle β’ Contribute to the development and enhancement of a comprehensive feature platform to streamline and optimize feature creation and management β’ Demonstrate best practices in version control and continuous integration/delivery β’ Own and drive initiatives from conception to deployment and monitoring β’ Collaborate with data scientists, engineers, product managers, and other key stakeholders in a fast-paced cross-functional environment
β’ 3+ years of experience building and maintaining production-quality software systems β’ Background in software engineering, data engineering, MLOps, data science, or research β’ Experience with popular ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) β’ Experience with containerization (e.g., Docker) and/or container-orchestration systems (e.g., Kubernetes, Argo CD) β’ Proficiency in deep learning/machine learning deployment and inference systems β’ Familiarity with ML engineering best practices β’ Experience with databases and/or data warehouses (e.g., DynamoDB, Snowflake or Redshift) β’ Experience with distributed data processing and streaming frameworks (e.g., Apache Spark, Apache Kafka) β’ Experience with workflow orchestration tools (e.g., Apache Airflow) β’ Ability to develop user-centric solutions and effectively translate stakeholder needs into technical requirements β’ Experience with cloud platforms (experience with AWS and/or Terraform is a plus)
β’ Market competitive salary β’ Equity β’ Comprehensive benefits β’ Commissions plans or annual discretionary performance bonus
Apply Now6 days ago
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β° Full Time
π Senior
π€ Machine Learning Engineer
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