Senior Machine Learning Engineer; GCP

Position: Senior Machine Learning Engineer (GCP)
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

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

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

GCP Cloud Architecture & Services

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

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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