Senior MLOps Engineer
About the Role
You will design, develop, and deploy AI-driven solutions and productionize machine learning models. You will build low-latency, high-throughput data pipelines, ensure data accuracy and reliability, and integrate model monitoring and deployment tooling. You will work with noisy and unstructured data to transform it for model training and inference, evaluate new AI technologies, and optimize operational costs. You will collaborate closely with data scientists, software engineers, and product stakeholders to embed models into applications and enable AI-powered insights.
Requirements
- Strong software engineering skills with Python
- Experience with ClickHouse ElasticSearch Postgres Redis and Neo4j
- Experience with workflow orchestration tools such as Airflow dbt Luigi Azkaban or Storm
- Experience with data processing and streaming technologies such as Spark Kafka or Flink
- Experience deploying and monitoring infrastructure with Docker Terraform Kubernetes and Datadog
- Familiarity with ML integration tools such as MLflow Feast ONNX and Apache Beam
- Ability to load query and transform large datasets
- Experience working with noisy dirty or unstructured data and performing data cleaning
- High degree of initiative ownership and ability to navigate ambiguity
- Strong problem structuring and prioritization skills
- Excellent verbal and written communication with technical and non-technical audiences
- Experience working collaboratively in cross-functional environments
Responsibilities
- Design develop and deploy AI-driven solutions
- Build low-latency high-throughput data pipelines
- Ensure data accuracy consistency and reliability
- Improve ML model performance and operationalization
- Integrate and evaluate new AI and ML technologies
- Optimize operational costs of ML infrastructure
- Embed models into applications and platforms
- Collaborate with cross-functional teams to enable production ML
Benefits
- Paid time off
- Holidays
- Parental leave
- Remote-first work
- Offsites and regional meetups