Senior AI Engineer
Ecolab · Bengaluru · onsite · Posted 37d ago
About a minute. You'll make an account on the way through.
About this role
- Design and develop sophisticated agentic AI systems capable of autonomous decision-making and task execution
- Architect and implement production-grade AI solutions using Azure services (Azure Functions, Azure OpenAI, Azure Cognitive Services, etc.)
- Build and maintain CI/CD pipelines using Azure DevOps and/or GitHub Actions for automated testing and deployment
- Develop scalable data processing workflows using Azure Databricks and Apache Spark
- Implement comprehensive testing strategies for AI applications including unit tests, integration tests, and performance testing
- Optimize AI agent performance, reliability, and cost-efficiency in production environments
- Design and implement monitoring, logging, and observability solutions for AI systems
- Mentor junior engineers and lead technical discussions on AI architecture and best practices
- Collaborate with cross-functional teams to integrate AI agents into existing systems
- Implement security best practices including managed identities, Key Vault integration, and RBAC
- 5 to 8 years of experience in AI/ML engineering with at least 2+ years focused on agentic AI or autonomous systems
- Expert-level proficiency in Python and advanced knowledge of SQL
- Deep understanding of Azure cloud services (Azure Functions, Azure OpenAI, Azure ML, App Services, Storage, Key Vault)
- Extensive hands-on experience with Azure Databricks for large-scale data processing and ML workflows
- Proven track record of deploying and maintaining AI systems in production environments
- Strong experience building CI/CD pipelines using Azure DevOps and/or GitHub Actions
- Proficiency in containerization technologies (Docker, Kubernetes/AKS)
- Strong foundation in Machine Learning, Natural Language Processing, and Deep Learning
- Experience with large language models (LLMs) and prompt engineering
- Knowledge of multi-agent systems
- Understanding of RAG (Retrieval-Augmented Generation) architectures
- Experience with ML frameworks (PyTorch, TensorFlow, Scikit-learn, Transformers)
- Exceptional analytical and problem-solving skills with ability to debug complex distributed systems
- Experience designing and implementing comprehensive test suites for AI applications
- Strong understanding of software engineering best practices (clean code, design patterns, SOLID principles)
- Experience with monitoring tools (Application Insights, Log Analytics, Grafana)
- Azure certifications (Azure AI Engineer Associate, Azure Solutions Architect)
- Experience with microservices architecture
- Knowledge of MLOps practices and tools (MLflow, Azure ML Pipelines)
- Experience with vector databases and semantic search
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A trusted partner for millions of customers, Ecolab (NYSE: ECL) is a global sustainability leader offering water, hygiene and infection prevention solutions and services that protect people and the resources vital to life. Building on a century of innovation, Ecolab has annual sales of $15 billion, employs more than 48,000 associates and operates in more than 170 countries around the world. The company delivers comprehensive science-based solutions, data-driven insights and world-class service to advance food safety, maintain clean and safe environments, and optimize water and energy use. Ecolab’s innovative solutions improve operational efficiencies and sustainability for customers in the food, healthcare, life sciences, hospitality and industrial markets.
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