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EdTech, E-learning, SaaS

Contract: AI Operations Specialist

Remote: Argentina, United StatesRemoteContractPosted 2 months agoVisa sponsorship available

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Role summary

Newsela is seeking an experienced ML Ops Engineer for a contract role to join their ML/AI team. This hands-on position involves taking models from prototype to production, building data pipelines, and ensuring service scalability. Responsibilities include designing and maintaining CI/CD pipelines for ML models, managing containerized services on AWS ECS, automating infrastructure with Terraform, integrating LLM providers, and improving data pipelines from BigQuery, S3, and DynamoDB. The role requires strong Python proficiency, Docker experience, and familiarity with cloud platforms like AWS and GCP, as well as LLM integration and observability tools.

Why You'll Love This Role:

We're looking for an experienced Machine Learning Engineer to join the ML team at Newsela. This team works on projects ranging from classical Machine Learning to AI / Generative pipelines. This is a hands-on role. You'll work closely with ML/AI, data and site reliability engineers to take models from prototype to production, build robust data pipelines, and keep our services running smoothly as we continue to scale.

What You'll Be Doing:

  • Design and maintain CI/CD pipelines for ML model training, packaging, and deployment across our microservices.
  • Manage containerized services on AWS ECS, optimizing for cost, latency, and availability.
  • Automate infrastructure provisioning and service configuration with Terraform.
  • Work to maintain and scale services that make use of third party LLM providers.
  • Build and improve data pipelines that feed models from BigQuery, S3, and DynamoDB into training and inference workflows.
  • Instrument services with observability tooling (Datadog, OpenTelemetry, Langfuse) and establish SLOs for model-serving endpoints.
  • Collaborate with ML engineers to productionize new models using BentoML, FastAPI, and container-based serving.

    • About You:

  • 2-3 years in ML Ops supporting ML/AI features, systems and workflows with 3-4 years prior experience in DevOps, CloudOps or SRE.
  • Strong proficiency in Python.
  • Hands-on experience with Docker containerization and container orchestration.
  • Solid understanding of CI/CD for ML workflows in an enterprise production environment.
  • Experience with Infrastructure as Code, preferably Terraform.
  • Familiarity with cloud platforms — specifically AWS (ECS, ECR, S3, DynamoDB, CloudWatch) and GCP (BigQuery, Vertex AI).
  • Experience with LLM integration and observability (OpenAI API, Google GenAI, Langfuse tracing).
  • Experience building and maintaining data pipelines for ML training and feature engineering
  • Familiarity with ML modeling workflows — training, evaluation, experiment tracking (e.g. MLFlow, Weights & Biases), and model versioning
  • Experience monitoring and flagging model drift over time.
  • Exposure to NLP/NLU models and frameworks such as Hugging Face Transformers, spaCy, or sentence-transformers
  • Knowledge of vector databases (LanceDB, FAISS) and embedding-based retrieval systems
  • Experience with scaling and maintaining deep learning frameworks (TensorFlow, PyTorch) in production settings
  • Familiarity with classical ML libraries (scikit-learn, XGBoost, LightGBM) and model explainability tools (SHAP)
  • Working knowledge of ML serving frameworks such as BentoML or similar.
  • Comfort working with FastAPI or similar async Python web frameworks.

    • Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits

    About Newsela:

    Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.

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    Sample Newsela interview questions

    • 1

      Design a real-time analytics engine for large datasets.

      system designmedium
    • 2

      Design a real-time chat application.

      system designmedium
    • 3

      Vertical Order Traversal Perform a vertical order traversal of a binary tree. Input: root = [1,2,3,4,5,6,7] Output: [[4],[2],[1,5,6],[3],[7]] Explanation: Traverses the tree maintaining column indices, seamlessly grouping nodes that share the exact same vertical alignment.

      codingmedium
    • 4

      Merge Overlapping Intervals Merge overlapping intervals in an array. Input: intervals = [[1,4],[4,5]] Output: [[1,5]] Explanation: The intervals touch exactly at the 4 mark, so they are successfully merged into a single continuous interval.

      codingmedium
    • 5

      Dot Product of Two Sparse Vectors Calculate the dot product of two sparse vectors. Input: nums1 = [0,1,0,0,2], nums2 = [0,0,0,0,5] Output: 10 Explanation: Multiplies the aligned non-zero values (2 * 5) and ignores all the zeros, yielding a dot product of 10.

      codingmedium

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