Senior Software Engineer
4 weeks ago
About the Role
We're seeking a Staff Engineer to craft and build an AI/ML Ops platform from the ground up, enabling our teams to scale AI/ML solutions efficiently.
Key Responsibilities
- Build and scale a comprehensive platform, accelerating AI adoption across teams.
- Collaborate with product managers and engineers to define requirements, and architect solutions for sophisticated data and workflow challenges.
- Use core Addepar systems like the Data Lakehouse to advise and strategize Ops and Data Governance infrastructure.
- Simplify processes by promoting strategic data architecture and optimized workflows.
- Implement data governance strategies to enhance the value of our data.
About You
- 7+ years of relevant work experience and 10+ years of overall experience that shows 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.
- Experience with Data Governance initiatives
Bonus Points
- 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).
Our Values
- Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
- Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
- Champion Our Clients - Exceed client expectations. Our clients' success is our success.
- Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
- Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.
We are an equal opportunity employer and are committed to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.
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