Data Engineer at EigenPhi

Full Time 5 months ago

Employment Information

Industry Data & AI

Job levelEntry Level

Salary $3,000 - $6,500 /hour

Experience3 Year

Job type Full Time

Location北京, Remote

Job Description

As a core member of the company's technical team, the candidate will be responsible for driving innovation in algorithm model research and development. This includes leading end-to-end processes from data preprocessing and feature engineering to the technical implementation of rule-based algorithms. The role requires deep involvement in building scalable algorithm architectures and developing cutting-edge models using both machine learning and deep learning frameworks. These models will be strategically applied to solve complex business problems and enhance product performance. Additionally, the candidate will independently support the algorithm development lifecycle for business products, ensuring seamless integration with front-end development and testing teams. Collaboration will involve participating in comprehensive R&D activities such as data cleaning, algorithm design, performance optimization, deployment, and user feedback tracking. The position demands a proactive approach to identifying technical challenges and proposing data-driven solutions to improve product outcomes.

Key Responsibilities

Lead algorithm model research and development projects, focusing on data preprocessing, feature engineering, and rule-based algorithm implementation
Design and build scalable algorithm architectures for diverse business applications
Develop and deploy machine learning and deep learning models to optimize business processes
Collaborate cross-functionally with front-end product development and testing teams to ensure algorithm integration
Execute comprehensive data cleaning and preprocessing workflows
Participate in algorithm design and implementation for product development
Implement performance optimization techniques to enhance model efficiency
Oversee deployment processes and monitor system performance post-implementation
Track user feedback to identify areas for algorithm improvement and refinement
Conduct technical analysis to align algorithm solutions with business objectives
Document algorithm workflows and maintain technical specifications for team reference
Stay updated with emerging algorithm technologies and industry best practices
Coordinate with stakeholders to define requirements for algorithm development
Perform iterative testing and validation of algorithm models
Develop prototype solutions for new business scenarios
Collaborate on data governance strategies for algorithm training
Implement automated monitoring systems for algorithm performance
Conduct root cause analysis for model failures or inefficiencies
Develop documentation for algorithm deployment and maintenance
Participate in technical reviews to ensure algorithm quality and compliance

Job Requirements

Master's degree or higher in Computer Science, Mathematics, or related fields
5+ years of hands-on experience in algorithm development and machine learning
Proven expertise in deep learning frameworks such as TensorFlow or PyTorch
Strong background in data preprocessing techniques and feature engineering
Experience with building scalable algorithm architectures for enterprise applications
Excellent understanding of performance optimization and deployment strategies
Proficiency in programming languages including Python, R, and SQL
Ability to collaborate effectively with cross-functional teams
Strong analytical skills with experience in data-driven decision making
Experience with cloud platforms for algorithm deployment (AWS, Azure, GCP)
Knowledge of CI/CD pipelines for model development and testing
Excellent communication skills for presenting technical findings to non-technical stakeholders
Ability to document complex algorithm workflows and technical specifications
Experience with version control systems (Git) for code management
Strong problem-solving skills with a track record of innovative solutions
Knowledge of data governance and ethical AI practices
Experience with real-time data processing and streaming algorithms
Ability to work independently while maintaining team collaboration
Proficiency in using algorithm evaluation metrics (accuracy, precision, recall)
Experience with model monitoring and maintenance in production environments

🤖

AI Job Analysis

Intelligent Job Recommendations Based on Deep Learning

Ready for Analysis

Analyze Job Core Requirements

This Data Engineer role, however heavily focused on algorithm development, requires a highly skilled professional adept in machine learning, deep learning, and scalable system design to drive innovation and integrate solutions into business products.

Mastery of machine learning and deep learning frameworks such as TensorFlow or PyTorch.
Experience in building scalable algorithm architectures for enterprise applications.
Strong expertise in data preprocessing, feature engineering, and performance optimization techniques.
Ability to collaborate with cross-functional teams and handle end-to-end algorithm lifecycles.
Proficiency in deployment strategies, cloud platforms, and CI/CD pipelines.

Understand Employer Recruitment Intent

Given EigenPhi's name, which evokes concepts from linear algebra and AI (such as eigenvalues often used in machine learning), the company likely positions itself as an innovative tech firm specializing in AI-driven solutions or data-intensive technologies. The recruitment intent for this Data Engineer role is to find a candidate who can spearhead algorithmic innovation, solve complex business problems, and ensure seamless integration with product development. This suggests EigenPhi values expertise in cutting-edge ML/DL, scalability, and a proactive approach to research, possibly indicating a need for talent to fill gaps in their technical team, perhaps in a growing startup or R&D-focused environment. The emphasis on end-to-end processes and business outcomes implies they seek individuals who can bridge technical skills with real-world applications, fostering a culture of continuous improvement and data-driven decision-making.

MyJob Interviewer Says

Interviewers at EigenPhi would likely focus on assessing a candidate's technical depth in algorithm development, problem-solving abilities, and collaborative skills to ensure they can innovate and integrate solutions effectively. They may look for evidence of hands-on experience with ML/DL frameworks, scalability challenges, and the ability to communicate complex ideas to non-technical stakeholders. Key assessment points include evaluating past projects for innovation, performance optimization, and teamwork, as well as testing for adaptability in dynamic environments to align with EigenPhi's probable culture of research and business alignment.

AI Matching Suggestions

For job seekers targeting EigenPhi, tailor your resume and interview preparation to highlight skills in machine learning, deep learning, and scalable algorithm development, emphasizing experiences that demonstrate innovation and business impact. Focus on showing how your technical expertise can solve real-world problems similar to those described in the job description.

Include specific keywords like 'TensorFlow/PyTorch proficiency' and 'cloud deployment experience' in your resume summary to match EigenPhi's tech stack.
Prepare case studies or portfolio examples showcasing end-to-end algorithm development, such as optimizing business processes with ML models, to demonstrate your ability to handle the role's core requirements.
Research EigenPhi's focus on eigenvalue-based AI or data analytics to customize your interview responses, showing how your skills align with their innovative approach and company culture.
Practice explaining technical concepts in simple terms to improve communication with non-technical teams, as EigenPhi likely values clear articulation in collaborative settings.
Emphasize experience with data governance and ethical AI in your application, as this is a key requirement that reflects EigenPhi's potential commitment to responsible AI practices in their industry.

Skills

PythonSQLData Visualization

Data Engineer at EigenPhi

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Job Description

Key Responsibilities

Job Requirements

AI Job Analysis

Analyze Job Core Requirements

Understand Employer Recruitment Intent

MyJob Interviewer Says

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Data Engineer at EigenPhi

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