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Tekion logo

Staff Machine Learning Engineer

TekionAutomotive Retail company
Bangalore, IndiaLead
Dragoneer Investment Group logo
Dragoneer Investment Group
Alkeon Capital
Durable Capital
Hyundai Motor Company
Index Ventures logo
Index Ventures
Advent International
Data & AINew

About the role

TL;DR

Build and operate the production backbone for ML services, accelerating AI features and agentic workflows.

  • Tekion is seeking a Staff Machine Learning Engineer to build and operate the production backbone for ML services across their platform.
  • This role is crucial for accelerating the rollout of AI-powered features and enabling agentic workflows.
  • Key Responsibilities Turn Applied Sciences prototype models into fast, reliable services with well-defined API contracts.
  • Build and orchestrate CI/CD pipelines for ML models.
  • Monitor, detect, and mitigate risks unique to LLMs and agentic systems.
  • Design batch/stream pipelines and online features linked to the domain graph.
  • Instrument deep observability for model performance, safety, and cost tracking.
  • 11+ years in ML engineering/MLOps or backend/platform engineering with production ML.
  • Experience with LLMs, retrieval systems, vector stores, and graph/knowledge stores.
  • Strong software engineering fundamentals in Python and experience with CI/CD, microservices, and cloud platforms (AWS preferred).
  • Hands-on with orchestration frameworks like LangChain and knowledge of agent architectures.
  • Experience with data pipelines (Airflow/Kubeflow, Spark/Flink, Kafka) and observability tools (Prometheus/Grafana).
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Required skills

PythonLLMsLangChainAirflowSparkDockerKubernetesREST APIgRPCAWSMLflowPrometheusGrafana

Nice-to-have skills

JavaGoScalaOpenAI APIKubeflowSQL

Domain expertise

automotive

Benefits & perks

Opportunity to work with some of the smartest minds to solve complex challenges at scale., Impactful role in shaping and securing a global, cloud-native & AI driven platform., Innovative, collaborative, and fast-paced culture.

Tech stack

PythonJavaGoScalaLangChainOpenAI APIAirflowKubeflowSparkDockerKubernetesREST APIgRPCAWSMLflowPrometheusGrafanaSQL

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