Machine Learning Engineer, Vertex AI

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November 20

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Tiger Analytics

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Artificial Intelligence • B2B • Consulting

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

1001 - 5000 employees

Founded 2011

🤖 Artificial Intelligence

🤝 B2B

📋 Description

• 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

• Advanced Generative AI - Advanced RAG including Graph based hybrid retrieval & Multimodal agent • Deep knowledge on ADK , Langchain Agentic Frameworks • Fine tuning and Distillation • 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 • 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 • 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 • 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

• Significant career development opportunities exist as the company grows. • Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment. • 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.