Publié il y a 12 mois
Machine Learning Engineer (with Vertex AI Experience)
@ Tiger Analytics Inc.
Télétravail au Canada
En bref
Tiger Analytics is hiring a Machine Learning Engineer with hands-on Google Cloud Platform and Vertex AI experience to design, build, and deploy scalable ML solutions. The role covers the end-to-end ML lifecycle, from data ingestion through model serving and monitoring.
Responsabilités :
- Develop, train, and optimize ML models using Vertex AI
- Design and build scalable ML pipelines
- Deploy models to production with Vertex AI endpoints
- Monitor model performance and drift
- Document architecture and model lifecycle
Résumé des exigences :
- Advanced generative AI: RAG, agents, fine-tuning
- Expert Python with production-grade code
- Proficiency in GCP services and Vertex AI
- RESTful API development with FastAPI or Flask
- Scalable distributed system design
Outils et compétences
Source et dates
Site carrière / système de candidatures · workable
- Date publiée par l’employeur
- 2025-11-19
- 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
| Domaine | Données et analytique |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
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.
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…
| Champ | Valeur |
|---|---|
| Secteur | Business Consulting and Services |
| Taille | 5,001-10,000 employees |
| Siège social | Santa Clara, CA |
| Type d’organisation | Privately Held |
| Fondée en | 2011 |
| Spécialités | Machine LearningPredictive AnalyticsForecastingNatural Language ProcessingComputer VisionCloud Data Platform EngineeringData-as-a-serviceLean Data GovernanceModern BI & Data WarehousingAI/ML Ops |
| Offres sur Jobsy | 81 |
| Voir la page |
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
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
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