Machine Learning Engineer (with Vertex AI Experience)

Machine Learning Engineer (with Vertex AI Experience) 5 days ago Be among the first 25 applicants

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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

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. 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.

Seniority level Mid‑Senior level

Employment type Full‑time

Job function Other

Industries IT Services and IT Consulting

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