Senior Machine Learning Engineer (3–6 Years) |
Selection process- Screening >> AI Interview>> L1 Discussion>> Offer
Join us to build and deploy production-grade AI/ML solutions for Fortune 500 clients on Google Cloud Platform. This hands-on role focuses on developing scalable systems across generative AI, traditional machine learning, and computer vision.
Key Responsibilities:
- Design and implement GenAI solutions (RAG, agentic workflows, multi-agent systems)
- Build and deploy ML models for forecasting, recommendations, and classification at scale
- Develop computer vision applications for document and image analysis
- Own end-to-end MLOps lifecycle (CI/CD, deployment, monitoring, model drift, A/B testing)
- Create scalable APIs, microservices, and data pipelines
- Architect knowledge graphs and semantic search solutions
- Collaborate with cross-functional teams and present solutions to clients
Requirements:
- 3–6 years of ML engineering experience across GenAI, ML, or computer vision
- Strong Python and software engineering skills (APIs, testing, containerization)
- Experience deploying ML solutions on cloud platforms (GCP preferred: Vertex AI, BigQuery, Cloud Run)
- Hands-on experience with MLOps and production systems
Good to Have:
- GCP ML certification
- Experience with knowledge graphs or semantic search
