
Machine Learning Engineer
2 days ago
About the Role:
As a key member of our ML Engineering Team, you will play a pivotal role in ensuring the scalability of our machine learning products and credit risk policy.
The successful candidate will have proven experience in end-to-end ML/MLOps system architecture, including model implementation, debugging, and production maintenance.
You will work closely with cross-functional teams to develop innovative solutions that drive business growth and customer engagement.
The ideal candidate will have a strong background in programming languages such as Python, PySpark, NumPy, Pandas, SQL, and Linux.
Azure cloud services experience, including Azure Databricks, Spark, Data Warehousing, and pipeline orchestration is highly desirable.
Experience with FastAPI/Flask for building scalable ML models APIs is also an advantage.
Strong project management and collaboration skills are essential for success in this role.
We are looking for someone who can think critically, communicate effectively, and drive results-oriented solutions.
Key Responsibilities:
- Design and implement scalable ML/MLOps systems
- Develop and maintain high-quality software components
- Collaborate with cross-functional teams to drive business growth
- Ensure timely delivery of projects and meet customer expectations
Requirements:
- 6-8 years of overall industry experience
- 3-4 years of experience in Machine Learning (ML)/MLOps or Business Rule Engine (BRE) implementation
- Proven expertise in end-to-end ML/MLOps system architecture
- Strong programming skills in Python, PySpark, NumPy, Pandas, SQL, and Linux
- Azure cloud services experience
- FastAPI/Flask experience
Education:
- Masters or Undergraduate in Computer Science/Electrical/Civil/Mechanical
Benefits:
- Competitive salary and benefits package
- Opportunities for professional growth and development
- Collaborative and dynamic work environment
- Recognition and rewards for outstanding performance
Join Our Team:
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