Posted:4 days ago|
Platform:
Hybrid
Full Time
Location - Guindy Olympia Tech Park
3 days Hybrid in the office.
Job Description:
1) Expertise in AI architecture, cloud services, and banking systems, with a strong focus on security, compliance, and scalability.
2) Architect and design scalable AI/ML/GenAI solutions, including data pipelines, model training and deployment, and AI integrations with enterprise systems.
3) Establish MLOps practices and automate model lifecycle, deployment, monitoring, and quality assurance.
4)Ensure architecture complies with security, data governance, and responsible AI standards.
5) Build proofs of concept (POCs) and pilot solutions to demonstrate AI feasibility and value.
6) Strong programming skills in Python and familiarity with AI/ML libraries (TensorFlow, PyTorch, scikit-learn).
7) Experience with LLMs, GenAI, embeddings, and prompt engineering, and familiarity with tools like LangChain or LlamaIndex.
8)Expertise in cloud AI services (AWS SageMaker/Bedrock, Azure OpenAI, GCP Vertex AI).
9)Solid understanding of data engineering, vector databases (e.g., Pinecone, Weaviate), and real-world AI deployment challenges.
10) Background in DevOps/MLOps, Docker/Kubernetes, CI/CD, version control, and observability.
11) Experience with GenAI, LLMs, RAG, and Vector Databases is a must.
12) Knowledge of NLP, Computer Vision, and Deep Learning (as applicable to banking) is an important skill set.
Kumaran Systems
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