
Posted 6 days ago
Staff Machine Learning Engineer
TekionStaff Machine Learning Engineer
Requirements
8-11+ years in ML engineering or MLOps, Experience with LLMs and vector stores, Proficiency in Python and Java, Go, or Scala, Hands-on with LangChain or LlamaIndex, Experience with Airflow, Kubeflow, Spark, or Flink, Knowledge of Docker and Kubernetes, Experience with AWS services
Skills
PythonLLMKubernetesAWSMLOpsDocker
About the role
Responsibilities
- Turn Applied Sciences prototype models (tabular, NLP/LLM, recommendation, forecasting) into fast, reliable services with well-defined API contracts.
- Build and orchestrate CI/CD pipelines and inference microservices (REST/gRPC) with stringent latency targets.
- Implement prompt management, including versioning, A/B testing, guardrails, and dynamic orchestration.
- Design batch/stream pipelines using tools like Airflow, Kubeflow, Spark, or Flink.
- Manage the full model/feature lifecycle, including feature store strategy, model registries, and lineage.
- Instrument deep observability for traces, logs, metrics, data drift, and cost tracking.
- Collaborate with data scientists, engineers, and product managers to design enterprise-scale systems.
Requirements
- 8-11+ years of experience in ML engineering, MLOps, or backend/platform engineering with production ML.
- Extensive experience with LLMs, retrieval systems, vector stores, and graph/knowledge stores.
- Proficiency in Python and at least one of Java, Go, or Scala.
- Hands-on experience with orchestration frameworks such as LangChain or LlamaIndex.
- Strong knowledge of data pipelines (Airflow, Kubeflow, Spark, or Flink) and streaming (Kafka/Kinesis).
- Proficiency with containerization and orchestration using Docker and Kubernetes.
- Experience with AWS services (ECS/EKS, S3, RDS/DynamoDB, Lambda, etc.).
Preferred Qualifications
- Experience with agent architectures (reactive, planning, RAG) and safe execution patterns.
- Knowledge of model ops tools like MLflow and observability stacks like OpenTelemetry, Prometheus, or Grafana.
- Experience with performance and reliability engineering, including circuit breakers and autoscaling.
- A product-oriented mindset focused on delivering measurable consumer and dealer outcomes.
About the Company
Tekion is disrupting the automotive industry with the first cloud-native automotive platform. Our ecosystem connects OEMs, retailers, and consumers through a seamless platform powered by cutting-edge technology, big data, and AI. With nearly 3,000 employees across North America, Asia, and Europe, Tekion is enabling the best automotive retail experiences ever through innovation.
ScoutJobs Agent
Get matches like this delivered daily
Sign up free — we'll pull jobs that fit your CV from across the web and rank them for you.
Get started — it's freeStaff Machine Learning Engineer
Tekion · Bengaluru
