Senior Machine Learning Engineer
1 week ago
We’re Hiring | Senior Machine Learning Engineer – BangaloreAbout TekionPositively disrupting an industry that has seen little innovation in over 50 years, Tekion is redefining automotive retail.Our Automotive Retail Cloud (ARC), Automotive Enterprise Cloud (AEC), and Automotive Partner Cloud (APC) connect OEMs, retailers, and consumers through one seamless platform.Leveraging cutting-edge technology, big data, machine learning, and AI, we’re transforming the automotive retail ecosystem.With offices in North America, Asia, and Europe, Tekion employs around 3,000 peopleworldwide—inventing new technology, solving complex challenges, and having a blast doing itRole: Senior Machine Learning EngineerLocation: BangaloreKey Responsibilities- Execute R&D and product roadmap initiatives 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, database, and back-end services. - Mentor and guide machine learning engineers; foster growth through training and collaboration. - Conduct code reviews to maintain quality and 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. - Collaborate with Cloud Architects and DevOps to design scalable ML infrastructure. - Oversee deployment and management of compute and storage resources for model training and inference. - Work with applied scientists and analysts to convert model requirements into production-ready solutions. - Establish monitoring and alerting systems for deployed models. - Create and maintain documentation for ML architecture and best practices. - Stay current with ML technologies and contribute to continuous improvement efforts.Required Qualifications- Bachelor’s/Master’s/PhD in Computer Science or related field. - 6+ years of hands-on experience as a Machine Learning Engineer or Architect with a strong portfolio of deployed models (batch, streaming, and real-time). - Proficient in Python, with experience in Java or Scala for production systems. - Familiar with Kafka, SQS, and MLOps tools like MLflow, Kubeflow, Airflow. - Experience with AWS, GCP, Azure, and containerization tools (Docker, Kubernetes). - Knowledge of TensorFlow, PyTorch, and data stores like Elasticsearch, MongoDB, PostgreSQL. - Skilled in ETL and data processing tools (e.g., Apache Spark, Kafka). - Experience with Grafana and Prometheus for monitoring. - Strong analytical and problem-solving skills.Preferred Qualifications- Experience in large-scale production systems and distributed computing. - Contributions to open-source projects or active participation in the ML community. - Proven leadership and mentoring experience. - Innovative mindset with a track record of impactful solutions or patents. - Collaborative approach across multiple product and application teams. - A continuous learner with a passion for sharing knowledge.Perks and Benefits- Competitive compensation - Generous stock options - Comprehensive medical insurance - Work alongside some of the brightest minds from Silicon Valley’s top companies
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