Senior Machine Learning Engineer
hace 6 días
Job Posted - Empty - Location Singapore -Full time -Remote **Who are we looking for**: **Key Responsibilities**: **Data Pipeline Architecture**: Architect data processing pipelines capable of efficiently managing large-scale datasets, optimising for performance and error resilience. **Database Connectivity**: Develop and optimise connectors for a variety of databases (SQL, NoSQL, cloud storages), ensuring efficient data integration and flow. **Data Ingestion & Processing**: Create data ingestion pipelines from diverse formats (Excel, CSV, Parquet) using big data technologies (Hadoop, Spark, Dask) for scalable data processing. **Error Handling & Data Quality**: Implement comprehensive error and edge case handling mechanisms to ensure system reliability across processing pipelines. **Scalable ML Model Development**: Construct scalable machine learning models for synthetic data generation, including leveraging GPU parallelization for deep learning models and LLMs. **Accelerate Research**: Actively work to unblock the research team, facilitating scalable research and efficient deep learning model training. This involves close collaboration to translate research insights into scalable models. **Cross-functional Team Collaboration**: Spearhead the swift integration of ML models and data engineering solutions within our enterprise data platform, ensuring effective and efficient collaboration with software development and AI research teams. **Essential Skills and Qualifications**: **High priority** 4+ years of relevant experience, with a focus on scalable machine learning solutions and large-scale data engineering. Proficiency in Python and ML frameworks (PyTorch > TensorFlow) Deep expertise in big data technologies (Dask > Spark) for efficient, scalable data processing. Solid understanding of distributed systems, data storage (e.g. S3), and data formats (e.g. Parquet), with a focus on performance and scalability. Expertise in GPU parallelization techniques for accelerating the development and training of deep learning models. **Good to have** Degree in Computer Science, Machine Learning, or related field. Strong background in developing database connectors, with extensive experience with SQL, NoSQL, and cloud storage solutions. Exceptional analytical and problem-solving skills, capable of navigating complex data integration and quality challenges in fast-paced settings. **Why Join Us**: Join a team poised to make significant impacts in the synthetic data technology space, where your contributions will shape the future of the field. Our start-up environment offers the excitement of innovation and problem-solving, coupled with competitive compensation, equity options, and the chance to challenge and expand your skills at the intersection of data privacy and utility. **Benefits**: Flexible work schedule - complete autonomy with no unnecessary meetings that take your time away from building Flexible work arrangements - desk space at our office in One North Singapore or fully remote **How to apply**: Does this role sound like a good fit to you? Indicate your available start - end dates (DDMMYY - DDMMYY) Send along links/supporting information that best showcase the relevant things you have built and done
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