Position: Machine Learning Engineer (with Vertex AI Experience)

Location: Hanover

Overview

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 Big Query, Dataflow, Cloud Functions, Pub/Sub

, and GCS in ML workflows.

• Apply CI/CD principles to ML models using Vertex AI Pipelines

, Cloud Build

, and Git Ops practices.

• Implement model governance, versioning, explainability, and security best practices within Vertex AI.
• Document architecture decisions, workflows, and model lifecycle clearly for internal stakeholders.

Advanced Generative AI

• 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:

Tensor Flow, PyTorch, scikit-learn, pandas, Num Py, Py Spark

• Experience with production-grade code, testing, and performance optimization

GCP Cloud Architecture & Services

• Proficiency in GCP services such as:
• Vertex AI
• Big Query
• 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. 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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