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▷ 3 Days Left: Engineer

1 month ago

Bengaluru, India Addepar Full time
Work Location - Bengaluru

The Role

Join Addepar’s innovative data and intelligence initiatives We're seeking a Software Engineer to craft and build an AI/ML Ops platform from the ground up, enabling our teams to scale AI/ML solutions efficiently

What You’ll Do

- Build and scale a comprehensive platform, accelerating AI adoption across teams.- 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.

Who You Are

- 2+ years of relevant work experience and 4+ 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.- A collaborative, low-ego problem-solver who takes ownership and delivers results.

Bonus points for:

- 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).