Position Details
About this role
Software Development Engineer (AI & ML) responsible for architecting and delivering AI/ML-based software solutions; enhances real-time data processing pipelines and model deployment across cloud environments in fintech.
Key Responsibilities
- Architect, design, and implement scalable ML models and algorithms for real-time data processing and prediction
- Develop and optimize data ingestion and transformation pipelines (Kafka, Airflow, Spark)
- Collaborate with data scientists and product engineers to translate business requirements into ML solutions
- Experiment with ML techniques using TensorFlow/PyTorch/Keras
- Use Docker and Kubernetes for cloud deployment of ML applications
Technical Overview
Stack includes Python/Java/Scala, TensorFlow, Keras, Scikit-learn, Apache Kafka, Airflow, Spark, Docker, Kubernetes. Focus on scalable ML models, data pipelines, and cloud deployment in a fintech context.
Ideal Candidate
The ideal candidate is a senior SDE in AI/ML with 7+ years in ML/data science and 7+ years deploying AI in cloud environments, plus 5+ years of PM/consulting experience driving large-scale projects in matrixed settings.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of 7+ years ML and cloud deployment experience, Lack of a relevant bachelor's degree, Inability to work on-site
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