Senior Machine Learning Engineer
hace 7 meses
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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