Job Description & How to Apply Below
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.
1. Advanced Generative AI
Advanced RAG including Graph based hybrid retrieval
Multimodal agent
Deep knowledge on ADK , Langchain Agentic Frameworks
Fine tuning and Distillation
2. 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
3. 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
6. 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
7. 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.
#J-18808-Ljbffr
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
×