Position Details
About this role
This role involves designing, building, and deploying AI and machine learning solutions, focusing on generative AI, MLOps, and cloud infrastructure to drive business outcomes in the fintech sector.
Key Responsibilities
- Design AI solutions
- Build and operate ML models
- Implement MLOps pipelines
- Ensure model security and observability
- Collaborate with cross-functional teams
Technical Overview
The position requires expertise in Python, ML frameworks (PyTorch/TensorFlow), cloud platforms (Azure), MLOps pipelines, and generative AI technologies including LLMs, RAG, LoRA, and QLoRA.
Ideal Candidate
The ideal candidate is a mid-level AI/ML engineer with 3+ years of experience in developing and deploying machine learning models, proficient in Python and frameworks like PyTorch or TensorFlow. They should have hands-on experience with MLOps practices, cloud platforms (preferably Azure), and generative AI technologies.
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 experience with ML frameworks (PyTorch/TensorFlow), No experience with MLOps pipelines, Inability to work with cloud platforms (Azure preferred), Less than 3 years of ML experience, No familiarity with generative AI or LLMs
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