The Walt Disney Company
The Walt Disney Company
द वॉल्ट डिज़्नी कंपनी कहानी कहने, किरदारों और अतिथि अनुभवों पर आधारित एक वैश्विक मनोरंजन व्यवसाय है। इसके संचालन में थीम पार्क और रिसॉर्ट, मीडिया नेटवर्क, फ़िल्म स्टूडियो और इंटरैक्टिव मीडिया शामिल हैं। इसके उत्पाद और अनुभव दुनिया भर में विभिन्न प्लेटफ़ॉर्म और उपकरणों के माध्यम से दर्शकों तक पहुँचते हैं। 1923 में स्थापित डिज़्नी मनोरंजन, आतिथ्य, यात्रा तथा खाद्य और पेय क्षेत्रों में कार्यरत एक बड़े अंतरराष्ट्रीय कार्यबल को एक साथ लाता है और उपभोक्ता डेटा के प्रबंधन में गोपनीयता, पारदर्शिता तथा अनुपालन पर ध्यान बनाए रखता है।

Software Engineer II, ML Observability

Build machine learning anomaly detection and observability systems for Disney+, Hulu, and ESPN. Develop production models, telemetry pipelines, inference services, and AI-powered operational insights.

विवरण

  • Contribute to production anomaly detection models, including autoencoders, statistical threshold models, and ensemble systems that monitor thousands of microservices.
  • Develop and improve ML training pipelines with PyTorch on GPU clusters.
  • Engineer features, train models, calibrate thresholds, and deploy models through MLflow.
  • Build features from time-series telemetry using windowing, normalization, and data quality safeguards.
  • Support real-time ML inference, including model serving, detection logic, and alert generation.
  • Develop AI capabilities using foundation models such as Claude and GPT-4.
  • Create and deploy scalable FastAPI services for ML predictions, health status, and insights.
  • Work across teams to integrate ML intelligence into incident response and release validation workflows.
  • Help evaluate and retrain models and tune thresholds.
  • Deliver features from design through implementation, take part in model design and code reviews, and expand ownership of production ML system components.

आवश्यकताएँ

  • At least 3 years of professional software engineering experience building, scaling, and maintaining ML-powered backends, data-driven microservices, and production REST APIs with FastAPI or Flask.
  • Hands-on experience across the ML engineering lifecycle using PyTorch or TensorFlow, including choosing model architectures, engineering features, training, and evaluation.
  • Proficiency in Python and at least one machine learning framework.
  • Experience managing experiments, model lineage, and hyperparameter tracking with MLflow or Weights & Biases.
  • Experience processing, transforming, and querying large telemetry, event, or time-series datasets with PySpark, Pandas, or Databricks.
  • Experience with GitHub, Docker, and cloud-native deployments such as AWS/EKS.
  • Strong analytical and troubleshooting abilities.
  • Strong collaboration and communication skills, including the ability to work across teams.
  • Preferred experience integrating foundation models, engineering and evaluating prompts, working with RAG architectures, or using LangChain or LangGraph.
  • Preferred experience with observability platforms such as Datadog, Grafana, or Conviva.
  • Preferred experience with large-scale data platforms such as Databricks, Spark, or Snowflake.
  • Bachelor’s degree in Computer Science, Machine Learning, Statistics, or Engineering, or equivalent experience.

लाभ

  • A bonus and/or long-term incentive units may be offered.
  • Medical benefits.
  • Financial benefits.
  • Other benefits depend on the level and position offered.
  • Primarily on-site work with occasional work from home.

संबंधित नौकरियाँ

HighLevel

Staff Frontend Engineer, Commerce (India, Remote)

HighLevel

Lead Commerce frontend architecture at HighLevel, an AI-powered business operating system for agencies and small businesses. Improve performance, accessibility, engineering standards, and scalable commerce experiences.

खोलें
Chemin AI
Delegate CX

Remote Accounting Specialist – Hospitality

Delegate CX
11 – 50 कर्मचारी
उद्यमपरामर्शभर्ती

Manage accounts payable and receivable, billing, collections, and financial records for U.S. hospitality clients. This full-time, home-based role in the Philippines uses QuickBooks, Excel, and other accounting systems.

खोलें
Remote Recruitment

Remote Billing Administrator in South Africa

Remote Recruitment

Handle invoicing, billing queries, reconciliations, and month-end reporting for a UK business while working remotely from South Africa.

खोलें
Agilent Technologies

Field Service Engineer, Asset Performance Management — Japan

Agilent Technologies

Install, maintain, and repair Agilent hardware, software, and network solutions. Provide on-site customer support and travel throughout Japan 100% of the time.

खोलें
Agilent Technologies

Field Service Engineer, Asset Performance Management (Japan)

Agilent Technologies

Install, maintain, and troubleshoot enterprise asset performance systems for Agilent customers. The role includes integrated solution delivery, technical training, and 100% travel.

खोलें
Hewlett Packard Enterprise

Senior Channel Presales Technical Architect, Canada

Hewlett Packard Enterprise

Guide channel partners in designing and selling HPE storage and data protection solutions. Build technical advocacy, grow the opportunity pipeline, and support customer engagements.

खोलें
Hewlett Packard Enterprise

Senior Channel Presales Technical Architect, Storage — HPE Canada Remote

Hewlett Packard Enterprise

Help HPE channel partners position, design, and sell storage and data protection solutions. Support solution architecture, demonstrations, proofs of concept, pipeline development, and partner technical advocacy.

खोलें
Hewlett Packard Enterprise

Channel Presales Technical Architect, Canada

Hewlett Packard Enterprise

Guide HPE channel partners in positioning, designing, and delivering storage and data protection solutions. Build partner technical capability, develop pipeline, and help secure competitive wins.

खोलें
Xero

Customer Experience Data Analyst

Xero
1,001 – 5,000 कर्मचारी
H1B वीज़ा प्रायोजकB2BSaaS

Create reporting and workforce insights for Xero’s Customer Experience and Payment Operations teams. Use Tableau and Zendesk Explore to inform business reviews, headcount planning, and senior leadership decisions.

खोलें