Role - AI ML Engineer with GCP
Experience- 8- 12+ Years
Location - Chennai, Hyderabad & Bangalore
Key Responsibilities
- Lead the design, development, and deployment of AI/ML solutions on GCP
- Architect scalable ML pipelines using Vertex AI, BigQuery, Dataflow, and Cloud Storage
- Build and optimize ML models (classification, regression, NLP, time series, recommendation systems)
- Drive MLOps practices including CI/CD, model monitoring, retraining, and governance
- Collaborate with data engineers, cloud architects, and business stakeholders
- Guide and mentor AI/ML engineers and data scientists
- Ensure security, compliance, performance, and cost optimization on GCP
- Translate business problems into AI/ML-driven solutions
Required Skills
- 8–12+ years of overall experience with 5+ years in AI/ML
- Strong hands-on experience with GCP AI/ML stack
- Vertex AI, BigQuery ML, AutoML
- Dataflow, Pub/Sub, Cloud Composer
- Proficiency in Python, TensorFlow / PyTorch / Scikit-learn
- Experience with MLOps tools (Kubeflow, ML pipelines, CI/CD)
- Strong understanding of cloud-native architecture & microservices
- Experience working with large-scale data and distributed systems
Good to Have
- Experience in GenAI / LLMs (Vertex AI Gemini, LangChain, RAG)
- Knowledge of Docker, Kubernetes (GKE)
- GCP Certifications (Professional ML Engineer / Cloud Architect)
- Experience in banking, healthcare, retail, or telecom domains
