10 hours ago
Makati City, PhilippinesSenior
Responsibilities
- Design and implement correlation, causality, root-cause analysis, and inference solutions across logs, metrics, traces, and events.
- Design, train, evaluate, maintain, and productionize machine learning and statistical models for anomaly detection, time-series analysis, and causal inference.
- Build LLM-based applications using RAG, agents, tool/function calling, embeddings, and vector stores for incident analysis and knowledge discovery.
- Select, deploy, fine-tune, and operate AI models and LLMs on local or on-premise infrastructure while managing performance, cost, security, and privacy.
- Develop scalable services in Java and Python and apply engineering practices including code reviews, testing, documentation, and version control.
- Define evaluation metrics and processes for the accuracy, reliability, and explainability of AI solutions.
- Explore and exploit observability data using Prometheus, OpenTelemetry, Loki, and Grafana.
- Build and maintain CI/CD pipelines and deploy solutions on containerized platforms while contributing to reliability and monitoring.
- Consult with internal technical and operational teams and communicate complex insights to stakeholders.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience.
- Strong software development skills in Java and Python with knowledge of software design, testing, and engineering best practices.
- Proven expertise building data-driven models using machine learning, statistical modeling, time-series analysis, and anomaly detection, with understanding of correlation and causal inference.
- Hands-on experience with LLMs, prompt engineering, RAG, embeddings, vector databases, agents, and tool-calling frameworks such as LangChain or similar.
- Experience running and fine-tuning AI models locally or on-premise, including understanding of GPU resources, model selection, and optimization.
- Proficiency with data and machine learning libraries and frameworks including pandas, NumPy, scikit-learn, PyTorch, or TensorFlow.
- Solid DevOps experience with Git, CI/CD pipelines, Jenkins, and GitLab or GitHub.
- Working knowledge of Docker, Kubernetes, and observability standards and stacks including Prometheus, OpenTelemetry, Loki, and Grafana.
- Familiarity with Terraform and cloud platforms such as AWS, Azure, OCI, or GCP is a plus.
- Strong analytical, problem-solving, communication, collaboration, and stakeholder-management skills.
Benefits
- Hybrid and flexible working arrangements are available for most employees.
- The role is based within Avaloq’s global office environment and supports an inclusive, equal-opportunity culture.
Tech Stack
AWSAzureDockerGitGoogle Cloud PlatformGrafanaJavaJenkinsKubernetesNumPyPandasPrometheusPythonPyTorchscikit-learnTensorFlowTerraform
Categories
About Avaloq
Avaloq develops core banking and digital wealth management platforms and provides banking-operations outsourcing for financial institutions, delivered via cloud SaaS, BPaaS, or on-premises deployments. Its clients include private, retail and investment banks; more than 170 institutions use its systems. Founded in 1985 and headquartered in Zürich, Avaloq is a subsidiary of NEC Corporation.