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MLOps Expert with Passion for Innovation
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Job Description
We are seeking an experienced and skilled Senior MLOps Engineer to join our team. As a key member of our engineering team, you will be responsible for designing, developing, and deploying machine learning models in production.
Required Skills and Qualifications- 8+ years of experience in software, data, or ML engineering, including 5+ years in MLOps or operationalizing AI/ML workflows.
- Deep hands-on experience with Python, Spark/PySpark, SQL, and orchestration tools such as Airflow.
- Proven experience with public cloud platforms, preferably GCP (Vertex AI, GKE, Cloud Run) or AWS.
- Skilled in Databricks, FastAPI, and containerized environments using Docker, Kubernetes.
- Deep understanding of CI/CD pipelines, version control systems (e.g., Git), and infrastructure-as-code (Terraform).
- Expertise with MLOps tools like MLflow, Kubeflow, or similar for model tracking, versioning, deployment, and monitoring.
- Proficient with model monitoring frameworks (e.g., Prometheus, Grafana) and implementing model drift, performance degradation, and rollback mechanisms.
- Diversity and Inclusion: We value diversity and promote a culture of inclusion.
- Professional Growth: We offer opportunities for professional growth and development.
- Positive Impact: We strive to make a positive impact in the world.
- Innovative Technologies: We use innovative technologies to drive business results.
