3+ yrsChennaiHybridDirect career pageEst. 12–22 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and deploy AI/ML solutions including classical machine learning models and advanced Generative AI workflows on Google Cloud Platform.
- Develop production-ready AI agents with multi-step reasoning and integration capabilities; build scalable data and ML pipelines for automation.
- Influence architectural decisions and product strategy; implement MLOps for model monitoring, governance, and reliability in production environments.
Minimum Requirements
- Bachelor’s Degree in Computer Science, Data Science, Statistics, or related technical field.
- Minimum 3 years of professional experience in AI/ML engineering or software engineering focused on model deployment.
- Proficiency in Python, machine learning frameworks (scikit-learn, XGBoost, PyTorch/TensorFlow), and Generative AI orchestration frameworks (LangChain, LlamaIndex, AutoGen).
- Working knowledge of Google Cloud Platform services including Vertex AI, BigQuery, and Cloud Run.
Ideal Candidate Profile
- Experienced in taking AI agents or ML models from prototype to stable, monitored production environments indicating strong operational and delivery capability.
- Comfortable engaging in architectural decisions and product strategy, highlighting a strategic and technical leadership mindset.
- Skilled in cloud-native engineering practices including IaC (Terraform) and CI/CD pipeline automation (Tekton or similar), emphasizing full-stack ownership and scalability.