What are the responsibilities and job description for the ML Data Engineer position at Aim4Hire?
Machine Learning Data Engineer
Key Responsibilities:
- Collaboration: Collaborate with cross-functional teams including data scientists, machine learning engineers, and domain experts to understand data requirements and objectives.
- Data Strategy: Design and develop data collection strategies for large-scale image, video, and audio datasets, considering factors such as diversity, quality, and representativeness.
- Pipeline Development: Design, develop, and maintain robust data pipelines to collect, store, and process large volumes of data efficiently and reliably.
- Automation: Develop and implement automation tools to streamline data collection, processing, and curation tasks.
- Infrastructure Management: Oversee the infrastructure required for data storage and processing, ensuring scalability and performance.
- Data Curation: Curate and manage datasets, ensuring they are clean, well-organized, and suitable for training and testing ML models.
- Data Quality Assurance: Implement data validation and quality assurance processes to ensure the integrity and accuracy of datasets.
- Documentation: Document processes, methodologies, and best practices related to data collection and management.
- Innovation: Stay up-to-date with the latest advancements in data collection, machine learning, and related fields, contributing insights and ideas to the team.
Qualifications:
- Education: Bachelor's or Master’s degree in Computer Science, or a related field.
- Experience: 3 years of experience in designing and implementing data collection pipelines for image, video, or audio datasets.
- Skills:
- Strong programming skills in languages such as Python or Java.
- Familiarity with machine learning concepts and frameworks (e.g., TensorFlow, PyTorch).
- Experience with data preprocessing, cleaning, and transformation techniques.
- Proficiency in using databases and data storage solutions (e.g., SQL, NoSQL, Hadoop).
- Knowledge of cloud computing platforms (e.g., AWS, Azure, Google Cloud) and their services.
- Excellent problem-solving skills and attention to detail.
- Effective communication skills with the ability to work collaboratively in a team environment.
- Experience with distributed computing and big data processing is a plus.
- Background in computer vision, natural language processing, or audio processing is a plus.
Compensation and Benefits:
- Competitive salary and stock options
- Comprehensive health, dental, and vision insurance
- Generous paid time off and company holidays
- Professional development opportunities
- Hybrid work environment, with 3 days per week expected in office in Atlanta, GA or Austin, TX
