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 one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe.
Job Description
Key Responsibilities:
- Execute the R&D and product roadmap based on industry insights and business needs.
- Collaborate with stakeholders to align ML solutions with business objectives.
- Develop robust APIs and microservices for seamless ML model integration into production systems.
- Build feature pipelines for model serving and ensure effective integration with front-end applications, databases, and back-end services.
- Mentor and guide machine learning engineers, fostering team growth through training and collaboration.
- Conduct code reviews to maintain quality and adhere to best practices.
- Manage end-to-end MLOps pipelines for data collection, model training, validation, and monitoring.
- Ensure adherence to version control, testing, and model governance best practices.
- Implement model compression, quantization, and distributed training techniques.
- Track key metrics and optimize models post-deployment.
- Work with cloud architects and DevOps to design scalable ML infrastructure.
- Oversee deployment and management of compute and storage resources for model training and inference.
- Collaborate with applied scientists and analysts to convert model requirements into production-ready solutions.
- Establish monitoring and alerting systems for deployed models to ensure prompt issue resolution.
- Create and maintain documentation for ML architecture and best practices.
- Stay current with ML technologies and contribute to ongoing enhancement efforts.
Required Qualifications
- Bachelors/ Masters / PhD in Computer Science or related field.
- 9+ years of hands-on experience as a Machine Learning Engineer or Architect with a strong portfolio of deployed ML models for batch, streaming and realtime usecases
- Proficient in Python for model development and data manipulation, and experience with Java or Scala for building production systems.
- Familiarity with messaging queues (e.g., Kafka, SQS) and MLOps tools (e.g., MLflow, Kubeflow, Airflow).
- Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization (Docker, Kubernetes).
- Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and data stores (e.g., Elasticsearch, MongoDB, PostgreSQL).
- Knowledge of data processing and ETL tools (e.g., Apache Spark, Kafka).
- Experience in monitoring tools Grafana and Prometheus
- Strong problem-solving skills and analytical mindset.
Preferred Qualifications
- Experience in large-scale production systems and distributed computing.
- Contributions to open-source projects or active participation in the ML community.
- Demonstrated leadership capabilities and experience in mentoring junior engineers.
- Innovative mindset with a track record of developing solutions leading to significant business improvements or patents.
- A collaborative approach to working across multiple products and application teams.
- A willingness to learn, share, and improve continuously.Perks and Benefits
- Competitive compensation
- Generous stock options
- Medical Insurance coverage
- Work with some of the brightest minds from Silicon Valley’s most dominant and successful companies
Bangalore Office
Bagmane Solarium City, 3rd & 4th floors, Neon Building, Kundalahalli Colony, Brookefield, Bengaluru, Karnataka 560037
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.
Top Skills
What We Do
At Tekion, we believe that business applications don’t have to be boring. In fact, they should be simple, fun and cool! They should be as delightful to use as your favorite social or consumer application, yet powerful enough to seamlessly and efficiently run global businesses that provide unparalleled consumer experience without compromise.
Founded by visionary entrepreneur and innovator Jay Vijayan, we are building the world’s best business applications on the cloud starting with the automotive retail industry. We inherently use cutting-edge technologies like big data, machine learning/AI, and human computer interaction (voice, touch, vision, sensors and IoT). We are inventing new technology along the way to overcome barriers and solve big problems, all while having a blast doing it!
Our flagship product offering, Automotive Retail Cloud ™- an industry-first cloud-native retail platform, including all functionalities of a Dealer Management System (DMS) launched recently.
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