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Publié il y a 16 mois

Senior Machine Learning Engineer (GCP)

@ Tiger Analytics Inc.

Toutes ses offres Site Web

Télétravail au Canada

Télétravail
Postuler
SIGNAUX

En bref

Tiger Analytics is hiring a Senior Machine Learning Engineer to design, build and deploy scalable ML solutions on Google Cloud Platform and Vertex AI. The role covers the end-to-end ML lifecycle, from data ingestion to model serving and monitoring, with a focus on generative AI, Python and production-grade systems.

Responsabilités :

  • Develop, train and optimize ML models on Vertex AI
  • Build scalable ML pipelines for training and deployment
  • Deploy models to Vertex AI endpoints and integrate with APIs
  • Monitor model performance, drift and retraining triggers
  • Document architecture and model lifecycle

Résumé des exigences :

  • Advanced generative AI: RAG, multimodal agents, fine-tuning
  • Expert Python with production-grade code and testing
  • Proficiency in GCP services including Vertex AI and BigQuery
  • Experience building RESTful APIs with FastAPI or Flask
  • Experience with distributed systems and microservices

Outils et compétences

Vertex AIBigQueryDataflowPub/SubCloud RunCloud FunctionsDataprocCloud BuildTensorFlowPyTorch
Source et dates

Site carrière / système de candidatures · workable

Date publiée par l’employeur
2025-07-31
Première détection par notre source
2026-10-11
Mise à jour du dossier source
2026-10-11

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Milieu de travailBureau, Domicile
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler

Tiger Analytics Inc.

Profil d’entreprise sauvegardé

Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.

We are a global leader in AI and Analytics. We provide certainty to shape a better tomorrow.

Description complète de l’entreprise

In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge Data & AI solutions. We go beyond standard playbooks and best practices, and forge new ones. If you’re keen to reimagine what AI can do for some of the toughest problems out there, come join our team of 5000+ brilliant technologists and consultants. Explore opportunities across our offices in the US, India, Canada, Mexico, UK, Spain, Singapore and Australia.

Abonnés LinkedIn
630 421
Personnes associées sur LinkedIn
6 613
Bureaux déclarés
  • 2350 Mission College Blvd, Ste# 495, Santa Clara, CA 95054, US
  • 111 Town Square Pl, Jersey City, New Jersey 07310, US
  • 36 Robinson Rd, Singapore, Singapore 068877, SG
  • 55 E Monroe, Suite 3800, Chicago, Illinois 60603, US
  • 5151 Headquarters Dr, Plano, Texas 75024, US
  • 65 St Paul’s Churchyard, 3rd Floor Paternoster House, London, EC4M 8AB, GB
  • 383 Kent St, Level 17, Sydney, New South Wales 2000, AU
  • 200 Bay St, North Tower, Suite 1200, PO Box 96, Toronto, Ontario M5J 2J2, CA
  • RMZ Millenia Business Park 2, Campus 5, 2nd Floor, No. 143, Kandanchavadi, MGR Road, Perungudi, Chennai, Tamil Nadu 600096, IN
  • Prestige Tech Park, 1st floor Mercury Block, Kadubeesanahalli, Bengaluru, 560103, IN
  • 8th Floor, B block (iSprout), Divyasree Trinity, Hitech City Rd, Madhapur,, Hyderabad, Telangana 500081, IN
  • De Entree 252, Amsterdam, North Holland 1101 EE, NL
Catégories d’activité
  • News
  • Consulting
  • Analytics
  • Advertising
  • Big Data
  • Machine Learning
Autres noms enregistrés
  • Tiger Analytics
  • Tiger Analytics Inc.
Spécialités
  • Machine Learning
  • Predictive Analytics
  • Forecasting
  • Natural Language Processing
  • Computer Vision
  • Cloud Data Platform Engineering
  • Data-as-a-service
  • Lean Data Governance
  • Modern BI & Data Warehousing
  • AI/ML Ops
  • ML Product Engineering
  • Data Engineering
  • Data Modernization
  • and Generative AI
Le profil indique une agence de recrutement
Non
Investissement total déclaré
0

La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.

Toutes ses offres Site Web

In a world rife with complexity, we help our customers cut through uncertainty, plan strategically, and execute confidently. We work with them to strategize and operationalize Data and AI-led transformation programs that deliver real value at scale. Our deep understanding of business value chains, agile operating models, platforms approach, and strategic hyperscaler partnerships allow us to engineer cutting-edge…

ChampValeur
SecteurBusiness Consulting and Services
Taille5,001-10,000 employees
Siège socialSanta Clara, CA
Type d’organisationPrivately Held
Fondée en2011
SpécialitésMachine LearningPredictive AnalyticsForecastingNatural Language ProcessingComputer VisionCloud Data Platform EngineeringData-as-a-serviceLean Data GovernanceModern BI & Data WarehousingAI/ML Ops
Offres sur Jobsy81
LinkedInVoir la page
Description

Tiger Analytics is looking for a skilled and innovative Machine Learning Engineer with hands-on experience in Google Cloud Platform (GCP) and Vertex AI to design, build, and deploy scalable ML solutions. You will play a key role in operationalizing machine learning models and driving the end-to-end ML lifecycle, from data ingestion to model serving and monitoring.

Key Responsibilities:

  • Develop, train, and optimize ML models using Vertex AI, including Vertex Pipelines, AutoML, and custom model training.
  • Design and build scalable ML pipelines for feature engineering, training, evaluation, and deployment.
  • Deploy models to production using Vertex AI endpoints and integrate with downstream applications or APIs.
  • Collaborate with data scientists, data engineers, and MLOps teams to enable reproducible and reliable ML workflows.
  • Monitor model performance and set up alerting, retraining triggers, and drift detection mechanisms.
  • Utilize GCP services such as BigQuery, Dataflow, Cloud Functions, Pub/Sub, and GCS in ML workflows.
  • Apply CI/CD principles to ML models using Vertex AI Pipelines, Cloud Build, and GitOps practices.
  • Implement model governance, versioning, explainability, and security best practices within Vertex AI.
  • Document architecture decisions, workflows, and model lifecycle clearly for internal stakeholders.

Requirements

1. Advanced Generative AI
- Advanced RAG including Graph based hybrid retrieval
- Multimodal agent

  • Deep knowledge on ADK , Langchain Agentic Frameworks
  • Fine tuning and Distillation

2. Python Expertise
- Expert in Python with strong OOP and functional programming skills
- Proficient in ML/DL libraries: TensorFlow, PyTorch, scikit-learn, pandas, NumPy, PySpark
- Experience with production-grade code, testing, and performance optimization

3. GCP Cloud Architecture & Services
- Proficiency in GCP services such as:
- Vertex AI
- BigQuery
- Cloud Storage
- Cloud Run
- Cloud Functions
- Pub/Sub
- Dataproc
- Dataflow
- Understanding of IAM, VPC

6. API Development & Integration
- Designs and builds RESTful APIs using FastAPI or Flask
- Integrates ML models into APIs for real-time inference
- Implements authentication, logging, and performance optimization

7. System Design & Scalability
- Designs end-to-end AI systems with scalability and fault tolerance in mind
- Hands-on experience in developing distributed systems, microservices, and asynchronous processing

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

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