Senior Machine Learning Engineer at Tekion

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, TechnologyIndustries

Requirements

7-10 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: Python plus one of Java/Go/Scala; API design; concurrency; testing
Hands-on with orchestration frameworks (e.g., Airflow/Kubeflow, Spark/Flink, Kafka)

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

Skills

Key technologies and capabilities for this role

Machine LearningLLMAIML PipelinesMicroservicesCI/CDObservabilityProduction MLModel DeploymentBig Data

Questions & Answers

Common questions about this position

What is the salary range for this Senior Machine Learning Engineer position?

This information is not specified in the job description.

Is this Senior Machine Learning Engineer role remote or does it require office work?

This information is not specified in the job description.

What key skills are required for this Senior Machine Learning Engineer role?

Key skills include building CI/CD pipelines, designing batch/stream pipelines with tools like Airflow/Kubeflow, Spark/Flink, Kafka, containerizing and deploying models, implementing prompt management for LLMs, and monitoring LLM/agentic systems.

What is the company culture like at Tekion?

This information is not specified in the job description.

What makes a strong candidate for this Senior Machine Learning Engineer position?

Strong candidates have experience turning prototype ML models into production services, expertise in LLM/agentic systems including prompt management and risk mitigation, proficiency in pipelines and deployment tools, and the ability to collaborate across data science, engineering, and product teams.

Tekion

Cloud-native platform for automotive retail management

About Tekion

Tekion has developed a cloud-native platform designed for the automotive retail industry. Its main product is a Dealer Management System (DMS) that utilizes technologies like Big Data, the Internet of Things (IoT), and Machine Learning (ML) to improve the operations of car dealerships. The DMS provides a centralized view and performance metrics for dealership groups, allowing for better management and increased operational efficiency. Tekion differentiates itself from competitors by being the first and fastest cloud-native DMS available, and it integrates seamlessly with major Original Equipment Manufacturers (OEMs) at no extra cost. The company's goal is to enhance dealership efficiency, profitability, and customer experience through its subscription-based software-as-a-service (SaaS) model, which also includes additional services to help dealerships identify upsell and cross-sell opportunities.

Pleasanton, CaliforniaHeadquarters

2016Year Founded

$617.8MTotal Funding

GROWTH_EQUITY_VCCompany Stage

Data & Analytics, Automotive & Transportation, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Competitive compensation and generous stock options

100% employer-paid top-of-the-line medical, dental and vision coverage

Great benefits including unlimited PTO, parental leave and free snacks and beverages

The opportunity to work with some of the brightest minds from Silicon Valley’s most dominant and successful companies

Be part of an early stage, hyper-growth start-up with the opportunity to grow and prosper

Work on the latest and coolest technologies – everything is home-grown and built ground-up

A dynamic work environment with a strong sense of community and collaboration

The open and transparent culture that encourages innovation, rewards performance and discourages hierarchy

Exciting opportunities for career growth and development

Risks

Competition from established players like CDK Global may impact Tekion's market share.

Data privacy concerns could arise from integrating generative AI into Tekion's platform.

Reliance on partnerships may pose risks if expected synergies are not achieved.

Differentiation

Tekion offers the first cloud-native platform for the automotive retail industry.

The platform integrates AI and machine learning for predictive analytics and personalization.

Tekion's Automotive Partner Cloud enables seamless data sharing across the automotive ecosystem.

Upsides

Increased adoption of cloud-native solutions boosts demand for Tekion's platform.

AI integration in dealership systems enhances customer experience and operational efficiency.

Subscription-based SaaS model aligns with industry trends, supporting Tekion's growth.

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