
Posted 12 hours ago
Senior Machine Learning Engineer
MultiBank GroupSenior Machine Learning Engineer
Requirements
7 to 15+ years in software engineering, data science, or ML engineering, Proven track record of building production-grade AI systems, Advanced Python engineering skills, Experience with product companies or enterprise AI platforms, Ability to own systems end-to-end from data to deployment
Skills
PythonPyTorchTensorFlowAWSMLOpsLLMKubernetesDatabricks
About the role
Responsibilities
- Architect and implement robust ML systems in production environments, ensuring scalability and reliability.
- Build and deploy supervised, unsupervised, deep learning, and generative AI models into live production environments at scale.
- Own technical design for ML pipelines, feature stores, training infrastructure, and inference systems.
- Design and deliver RAG systems, fine-tuning pipelines, and evaluation pipelines for production-grade LLM applications.
- Implement and maintain CI/CD for ML, including model versioning, monitoring, drift detection, and automated retraining.
- Optimize model performance, inference latency, and cost efficiency across live systems.
- Collaborate with product managers and data teams to translate business problems into scalable AI solutions.
- Mentor junior and mid-level ML engineers and establish technical best practices.
Requirements
- 7 to 15+ years of experience in software engineering, data science, or ML engineering.
- Proven track record of building production-grade AI systems rather than just research or notebooks.
- Advanced Python engineering skills with a focus on production quality and systems thinking.
- Experience working within product companies, scale-ups, or enterprise AI platforms.
- Ability to own systems end-to-end, from data ingestion through deployment and monitoring.
- Strong ability to work directly with stakeholders and product owners in fast-paced environments.
- Experience in fintech or financial services is a significant advantage.
Preferred Qualifications
- Proficiency with LLM frameworks such as LangChain, LlamaIndex, and RAG architectures.
- Hands-on experience with MLOps tools like Docker, Kubernetes, MLflow, or Airflow.
- Expertise in cloud platforms including AWS (SageMaker, EKS), Azure ML, or GCP.
- Familiarity with large-scale data stacks such as Databricks, Spark, or Lakehouse architectures.
Benefits
- Competitive salary plus performance-based incentives.
- Access to a dynamic, international, and fast-growing environment.
- Strong opportunities for career progression within a global financial group.
- The chance to work with one of the world’s leading financial derivatives institutions.
About the Company
MultiBank Group is a global financial pioneer established in 2005. Headquartered in Dubai, we specialize in delivering cutting-edge trading technology and liquidity across Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs. We serve over 2 million clients across 100 countries with a daily trading volume exceeding US$ 35 billion.
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MultiBank Group · Dubai
