JAGGAER is seeking to solve complex procurement and supply chain challenges across various industries by designing, building, and operationalizing data pipelines, ML models, and LLM powered agents to turn vast structured and unstructured data into real-time, actionable insights for customers.
Requirements
- Proficiency in Python (Pandas, PySpark, scikit learn, TensorFlow/PyTorch) and SQL.
- Hands-on work with at least two of the following platforms: OpenSearch, Snowflake, Redshift, Redis, Pinecone, SageMaker.
- Solid grounding in statistical modeling, supervised/unsupervised ML, and evaluation metrics.
- Experience with Linux, Git, CI/CD, Docker, and at least one orchestration framework (Airflow, Prefect, Kubeflow, or Dagster).
- Prior exposure to LLM fine tuning, prompt engineering, or RAG pipelines.
- Experience deploying ML services on AWS (S3, ECS/EKS, Bedrock), Azure, or GCP.
- Knowledge of procurement, supply chain, IoT sensor, or ERP data domains.
Responsibilities
- Build scalable ingestion, ETL/ELT, and feature store pipelines across OpenSearch, Snowflake, Redshift, and Redis.
- Design semantic layers and vector indexes (Pinecone, OpenSearch) that power retrieval augmented generation (RAG) and Agentic AI workflows.
- Prototype, train, and evaluate predictive, prescriptive, and generative models in Amazon SageMaker (plus open source frameworks).
- Implement automated A/B tests and champion/challenger experiments; translate findings into product requirements.
- Own CI/CD, monitoring, drift detection, and scalable inference for classical ML and LLM pipelines.
- Package models and agents into reusable micro services with Terraform / Docker / Kubernetes.
- Orchestrate multi-agent task flows (LangGraph, CrewAI, or equivalent) that call JAGGAER and third-party APIs.
Other
- Bachelor’s or Master’s in Computer Science, Statistics, Math, Data Science, or related field.
- 10+ years designing and deploying production-grade ML or data engineering solutions.
- Clear, concise communicator able to present complex analyses to senior leadership.
- Be Collaborative: Promote mutual respect, work productively with others, and share responsibility for success.
- Be Accountable: Own your actions, learn from challenges, and stay proactive to achieve results.
