Senior Machine Learning Engineer

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
• Background in regulated industries (Healthcare/Finance)