AI/ML Engineer
DataVisor
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $130,000 - $200,000 per year
Job Level
Junior
Tech Stack
AWSCloudDistributed SystemsDockerJavaKafkaKubernetesPythonSpark
About the role
- Architect and maintain high-throughput data pipelines using Spark, Kafka, or Flink.
- Optimize distributed systems to support global data network handling 10,000+ Transactions Per Second (TPS).
- Build agentic flows and AI applications leveraging state-of-the-art LLMs.
- Deploy and maintain pipelines for both Unsupervised (UML) and Supervised (SML) models.
- Implement robust security measures ensuring PII privacy and compliance.
- Work closely with cross-functional teams to develop and optimize machine learning models and AI-driven features.
Requirements
- 1–5 years of experience in Machine Learning Engineering, Data Engineering, or Backend Engineering.
- Proven ability to design distributed, cloud-native systems for high-throughput applications. Experience with AWS and containerization (Docker/Kubernetes) is critical.
- Strong hands-on experience with distributed data frameworks such as Spark, Kafka, or Flink.
- Production-grade skills in Python and at least one compiled language (e.g., Java or C++).
Benefits
- Comprehensive medical, dental, and vision coverage.
- 401(k) retirement plan.
- Flexible Time Off (FTO) and paid holidays.
- Opportunities for R&D exploration and professional development.
- Regular team-building events and a collaborative, innovative culture.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SparkKafkaFlinkPythonJavaC++Machine Learning EngineeringData EngineeringBackend EngineeringDistributed Systems
Soft skills
collaborationcommunicationproblem-solvingoptimizationsecurity awareness