11 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Design, develop, and deploy scalable AI/ML agents for anomaly detection, forecasting, and root-cause analysis.
- Build and optimize real-time inference APIs, backend services, and event-driven data pipelines for telemetry, logs, metrics, and traces.
- Automate model training, evaluation, deployment, and monitoring across the MLOps lifecycle.
- Architect distributed, fault-tolerant, multi-cloud systems using Golang, Kubernetes, Docker, and infrastructure-as-code tools.
- Design data flows and storage systems using Kafka, Pub/Sub, SQL databases, and NoSQL databases.
- Implement service discovery, load balancing, failure recovery, data serialization, compression, and query optimization.
- Collaborate with SRE, DevOps, platform, and product teams to integrate AI-agent capabilities into observability workflows.
- Contribute to architecture, technical strategy, roadmap decisions, and technical documentation.
- Mentor junior engineers in backend engineering, ML systems, and distributed computing.
Requirements
- Bachelor’s degree in computer science, computer engineering, computer information systems, software engineering, or a related area plus 5 years of software engineering experience, or 7 years of software engineering experience.
- 10–15 years of software engineering experience, including 2–4 years in AI/ML engineering, as stated in the position summary.
- End-to-end experience deploying AI solutions from data ingestion through training, inference, and monitoring.
- Strong Golang skills or Python skills with willingness to learn Go.
- Strong understanding of algorithms, data structures, system design, distributed systems, concurrency, scalability, and resilience.
- Experience with real-time inference, data pipelines, Kafka or Pub/Sub, and SQL/NoSQL databases.
- Experience designing RESTful or gRPC APIs and scalable microservices.
- Preferred experience with TensorFlow, PyTorch, Scikit-learn, time-series modeling, anomaly detection, forecasting, LLMs, RAG pipelines, agentic workflows, and MLOps tools.
- Preferred familiarity with Prometheus, Grafana, OpenTelemetry, observability or AIOps platforms, incident management, distributed consensus, event sourcing, and LLM orchestration frameworks.
- A master’s degree with 3 years of software engineering experience is listed as a preferred qualification.
- Preferred knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility practices.
Benefits
- The role is based in the Bangalore office for daily work, with flexibility for associates to manage their personal lives.
- Benefits include incentive awards, maternity and parental leave, paid time off, health benefits, and other benefits.
Tech Stack
Apache CassandraApache KafkaClickHouseDockerGoGrafanagRPCKubernetesMLflowMongoDBMySQLPostgreSQLPrometheusPythonPyTorchscikit-learnSQLTensorFlow
Categories
About Walmart
Walmart is a global omnichannel retailer that sells groceries, general merchandise, and services through Walmart and Sam's Club stores and online marketplaces for consumers and small businesses. Its model spans physical retail, e-commerce, advertising, and a vast supply chain, plus pharmacy, health, and financial services. Founded in 1962 and headquartered in Bentonville, Arkansas, Walmart Inc. is a public company on the NYSE (WMT) operating in the U.S. and multiple international markets.