Staff Engineer

4 weeks ago


Bengaluru, Karnataka, India addepar Full time

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.

Requirements

  • 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.

At Addepar, we're committed to creating a welcoming environment where inclusion and belonging are held as a shared responsibility. We're proud to be an equal opportunity employer and seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions.


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