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 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

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.