• Collaborate with cross-functional partners (Product Managers, Data Scientists, Data Engineers, Software Engineers, Business teams) to build data and Machine Learning products • Take ownership of objectives and key results for your workstream, and own technical solutions in partnership with your manager • Architect and build robust systems to train, deploy, run inference, and monitor Machine Learning and AI systems at scale • Champion code quality, reusability, scalability, maintainability, and security, and provide input into strategic architecture decisions • Implement processes and tools to ensure data quality, enforce data governance policies and engineering best practices • Integrate Machine Learning and AI systems with production applications • Innovate with new approaches, staying abreast of current research and latest technologies in the broader ML engineering community

Role Description Next-Generation Infotainment System project for German premium carmaker at Luxoft Automotive Division. There is a wide range of applications provided by domains for the Head Unit, such as Tuner, Player, etc. The project life-cycle covers all stages from design to development and delivery to the client. The project team works in tight collaboration with one of the premium OEMs in the world and is located in the Southeast Asia region. You will have the opportunity to be part of the team that is developing functionality for the most technologically advanced cars in the world. - Develop and maintain Automotive HMI applications using Qt/QML and C++ - Implement UI features and integrate QML frontend with C++ backend - Collaborate with Architects, Developers, Test Engineers, and Product Owners to deliver high-quality software - Participate in design discussions, code reviews, estimation, and troubleshooting activities - Contribute to software quality, performance optimization, and continuous improvement initiatives Qualifications - Upper Intermediate level of English - 4+ years of software engineering experience - 2+ years of Qt/QML development experience - 1+ year of Automotive project experience (IVI, Cluster, Cockpit, or HMI) - Strong C++11/14 knowledge - Strong Qt Framework and QML knowledge - Experience with Embedded Linux development - Experience with Git and code review processes - Good understanding of object-oriented design principles Requirements - Experience working in an Agile/Scrum environment - Knowledge of automotive communication protocols (CAN, SOME/IP) - Experience with Android Automotive OS (AAOS) - Knowledge of CommonAPI and/or FRANCA - Understanding of ASPICE processes - Excellent interpersonal skills and high motivation Company Description

Role Description - Design and implement scalable data processing pipelines for ML training and validation - Build and maintain feature stores with support for both batch and real-time features - Develop data quality monitoring, validation, and testing frameworks - Create systems for dataset versioning, lineage tracking, and reproducibility - Implement automated data documentation and discovery tools - Design efficient data storage and access patterns for ML workloads - Partner with data scientists to optimize data preparation workflows Qualifications - 7+ years of software engineering experience, with 3+ years in data infrastructure - Strong expertise in GCP's data and ML infrastructure: - BigQuery for data warehousing - Dataflow for data processing - Cloud Storage for data lakes - Vertex AI Feature Store - Cloud Composer (managed Airflow) - Dataproc for Spark workloads - Deep expertise in data processing frameworks (Spark, Beam, Flink) - Experience with feature stores (Feast, Tecton) and data versioning tools - Proficiency in Python and SQL - Experience with data quality and testing frameworks - Knowledge of data pipeline orchestration (Airflow, Dagster) Requirements - Experience with streaming systems (Kafka, Kinesis) - Experience with GCP-specific security and IAM best practices - Knowledge of Cloud Logging and Cloud Monitoring for data pipelines - Familiarity with Cloud Build and Cloud Deploy for CI/CD - Experience with streaming systems (Pub/Sub, Dataflow) - Knowledge of ML metadata management systems - Familiarity with data governance and security requirements - Experience with dbt or similar data transformation tools

Role Description As a Machine Learning Engineer on our Sourcing team, you will work on developing and deploying ML and AI solutions in production. You’ll be collaborating with a cross-functional product team to drive value and better customer experiences for our Sourcing product, which connects employers with new talent through AI. This MLE will help us improve our automated outreach quality, building new agentic experiences, and LLMOps reliability and infrastructure. - Develop a variety of models from prototype to production. - Implement best practices for evaluation, monitoring, and Machine Learning Operations (MLOps). - Partner with cross-functional teams across the company on model inference and product applications. - Participate in code review and process innovation for the team's software engineers and Machine Learning Engineers, and document your work. - Prioritize technical and product thinking, and show ownership for team priorities and Indeed’s mission to help people get jobs. Qualifications - Requires a Bachelor's degree in Computer Science, Mathematics, Statistics, or related field and a minimum of 2 years of related experience; or an advanced degree without experience. - Familiarity with agent orchestration frameworks and LLM observability tools. - Significant domain knowledge with training, fine-tuning, and evaluating language models. - Knowledge and practical experience working on ML/LLM/Deep Learning models (like Torch, Tensorflow, Huggingface, XGBoost, etc.). - Python and SQL programming experience. Salary Range Disclaimer The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. Compensation may also vary based on where a role is performed, as work locations are grouped into geographic pay tiers to reflect cost of labor differences in different geographic markets. - Tier 1 - United States of America: $118,000 - $176,000 USD per year - Tier 2 - United States of America: $130,000 - $196,000 USD per year - Tier 3 - United States of America: $143,000 - $215,000 USD per year - Tier 4 - United States of America: N/A - Tier 5 - United States of America: $163,000 - $245,000 USD per year EEO and Accommodations Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds. Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please visit this link . If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. Inclusion & Belonging Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we’re committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity. - We value diverse experiences, including those who have had prior contact with the criminal legal system. - We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. - Those with military experience are encouraged to apply. - Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome.