Highly Skilled Staff Engineer
7 days ago
About Addepar
Addepar is a global technology and data company that empowers investment professionals to provide informed guidance to their clients. With a decade of experience and client presence in over 45 countries, Addepar aggregates portfolio, market, and client data for over $6 trillion in assets.
The Opportunity
We're seeking a highly skilled Staff Engineer to craft and build an AI/ML Ops platform from the ground up, enabling our teams to scale AI/ML solutions efficiently. As a key member of our team, you will build and scale a comprehensive platform, accelerating AI adoption across teams.
Key Responsibilities:
- Design and develop a scalable AI/ML Ops platform, accelerating AI adoption across teams.
- Collaborate with product managers and engineers to define requirements and architect solutions for sophisticated data and workflow challenges.
- Advise and strategize Ops and Data Governance infrastructure using core Addepar systems like the Data Lakehouse.
- Simplify processes by promoting strategic data architecture and optimized workflows.
- Implement data governance strategies to enhance the value of our data.
Requirements:
- 7+ years of relevant work experience and 10+ years of overall experience, showing proficiency in platform development, particularly in enabling Machine Learning and AI outcomes.
- Proficient in one or more cloud platforms (AWS, GCP, Azure), with hands-on experience in cloud infrastructure and handling machine learning workloads.
- Strong expertise in CI/CD for ML pipelines—building, automating, and optimizing the pipeline lifecycle.
- Experienced with containerization (Docker, Kubernetes) to deploy models at scale.
- Skilled in monitoring and observability tools like FiddlerAI, Datadog, and Grafana to track model performance, data drift, and system health.
- Knowledge of Infrastructure as Code tools (Terraform, Ansible, CloudFormation) for consistent, scalable environment setups.
- Familiar with ML lifecycle management (Kubeflow, MLflow, TFX) to manage experiments, model versioning, and deployment.
- Experienced in securing ML systems and ensuring compliance with regulations (e.g., GDPR).
- A collaborative, low-ego problem-solver who takes ownership and delivers results.
Preferred Qualifications:
- Experience with LLM frameworks such as LangChain, Llama Index, or Semantic Kernel and LLM Observability.
- Experience in handling large-scale datasets and high velocity data streams.
- Proficiency with ML frameworks (TensorFlow, PyTorch).
- Familiarity with the financial domain.
- PySpark and Databricks experience (or similar technologies with a willingness to cross-train).
Why Addepar
We're a global company with a flexible workforce model, and we're proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds, and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.
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