Staff Machine Learning Engineer

Tekion is hiring a Staff Machine Learning Engineer in Bangalore HQ.

Responsibilities

• Turn Applied Sciences prototype models (tabular, NLP/LLM, recommendation, forecasting) into fast, reliable services with well-defined API contracts.

• Integrate with the LLM Gateway/MCP, prompt/config versioning.

• Build and orchestrate CI/CD pipelines.

• Review data science models; refactor and optimize code; containerize; deploy; version; and monitor for quality.

• Collaborate with data scientists, data engineers, product managers, and architects to design enterprise systems.

• Monitor, detect, and mitigate risks unique to LLMs and agentic systems.

• Implement prompt management: versioning, A/B testing, guardrails, and dynamic orchestration based on feedback and metrics.

• Design batch/stream pipelines (Airflow/Kubeflow, Spark/Flink, Kafka) and online features linked to our domain graph.

• Build inference microservices (REST/gRPC) with schema versioning, structured outputs, and stringent p95 latency targets.

• Manage the model/feature lifecycle: feature store strategy, model/agent registry, versioning, and lineage.

• Instrument deep observability: traces/logs/metrics, data/feature drift, model performance, safety signals, and cost tracking.

• Ensure real-time reliability: autoscaling, caching, circuit breakers, retries/fallbacks, and graceful degradation.

• Develop templates/SDKs/CLIs, sandbox datasets, and documentation that make shipping ML the default path.

Desired Skills and Experience

• 8 - 11+ years in ML engineering/MLOps or backend/platform engineering with production ML.

• Experience with LLMs, retrieval systems, vector stores, and graph/knowledge stores.

Preferred qualifications

• Product-oriented: You measure success by dealer and consumer outcomes, not just technical metrics.

• Reliability- and safety-first: You move fast with guardrails, rollbacks, and clear SLOs.

• Systems thinker: You design for multi-tenant scale, portability, and cost efficiency.

• Collaborative: You translate between Applied Sciences, Product, and the Data & AI Platform; you document and teach.

• Pragmatic: You automate the 80% and leave room for rapid experimentation.

Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics.

For more information on our privacy practices, please refer to our Applicant Privacy Notice here https://tekion.com/legal/privacy/applicant-and-candidate-privacy-notice.

About Tekion

Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through