Competitive compensation pyckages; potential for s...
On-site
2-5 years experience in ai or data science
Strong python programming skills
Experience with pytorch tensorflow scikit-learn
Hala is seeking an AI Engineer at all levels to develop and deploy AI and machine learning solutions aimed at empowering SMEs in the MENAP region. The role requires strong programming skills and experience with machine learning frameworks, as well as collaboration with various teams to integrate AI into products and systems
Job Summary
HALA is a leading fintech player in the MENAP region aiming to redefine financial services for SMEs.
The role involves developing and deploying AI, machine learning, and generative AI solutions such as chatbots and copilots.
Employees enjoy an inclusive culture, competitive compensation with potential shares, and regular training with an annual learning stipend.
Matching Summary
Match Score: 85
Hala is seeking an AI Engineer at all levels to develop and deploy AI and machine learning solutions aimed at empowering SMEs in the MENAP region. The role requires strong programming skills and experience with machine learning frameworks, as well as collaboration with various teams to integrate AI into products and systems.
Salary
Competitive compensation packages; Potential for shares; Annual learning stipend
Skills & Requirements
Must-have
2-5 years experience in AI or data science
Strong Python programming skills
Experience with PyTorch TensorFlow Scikit-learn
Knowledge of LLMs NLP embeddings vector databases RAG
Experience with APIs cloud platforms production deployment
Nice-to-have
Experience with OpenAI Azure OpenAI AWS Bedrock Google Vertex AI
Experience with LangChain LlamaIndex Pinecone FAISS tools
Experience in fintech banking payments regulated environments
Inclusive diverse culture encouraging innovation
Autonomy mentoring challenging goals
Key Requirements
Bachelor's degree in Computer Science AI Data Science Software Engineering
2-5 years of experience in AI machine learning data science software engineering