{"id":737419,"url":"https://alion.io/job/multibankgroup-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":450222,"name":"Multi Bank Group","domain":"multibankgroup.com","url":"https://alion.io/company/multibankgroup","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"C","score":58,"open_postings":13,"ghost_share":0.692,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-04T06:34:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Dubai, United Arab Emirates"],"countries":["AE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":39000,"max_usd":103000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Adjust","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anthropic","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Arize Phoenix","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Cohere SDK","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Diffusers","optional":false},{"name":"Docker","optional":false},{"name":"Evidently AI","optional":false},{"name":"FAISS","optional":false},{"name":"Feature Store","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Firebase","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LightGBM","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Milvus","optional":false},{"name":"MLFlow","optional":false},{"name":"OpenAI","optional":false},{"name":"PEFT","optional":false},{"name":"Pinecone","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false},{"name":"Weaviate","optional":false},{"name":"Weights & Biases","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-06-02T12:57:23Z","employer_posted_date":"2026-06-02","last_verified_at":"2026-11-05T03:02:21Z","board_verified":true,"closed_at":null,"days_open":155,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":155},"description":"Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.\nJoin our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US$ 35 billion. As a heavily regulated institution with oversight from 18+ financial regulators across 5 continents, and recipient of over 80 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.\nRole Overview\nWe are seeking a Senior Machine Learning Engineer to join our AI team as a technical owner of ML products and infrastructure. This is a deeply hands-on engineering position for someone who builds and scales production AI systems used by real users in real-time environments. The right candidate operates across the full ML lifecycle - from model design through deployment, optimization, and ongoing performance in production - and contributes to the technical direction of the AI platform.\nKey Responsibilities\nArchitect and implement robust ML systems in production environments, ensuring scalability, reliability, and performance from day one\n\nBuild and deploy supervised, unsupervised, deep learning, and generative AI models into live production environments at scale\n\nOwn technical design for ML pipelines, feature stores, training infrastructure, and inference systems, driving decisions that balance performance, cost, and maintainability\n\nDesign and deliver RAG systems, fine-tuning pipelines, prompt engineering frameworks, and evaluation pipelines for production-grade LLM applications\n\nImplement and maintain CI/CD for ML, model versioning, monitoring, drift detection, and automated retraining pipelines\n\nContinuously optimize model performance, inference latency, cost efficiency, and reliability across live systems\n\nCollaborate with product managers, engineers, and data teams to translate business problems into scalable, maintainable AI solutions\n\nMentor junior and mid-level ML engineers, establish best practices, and contribute to technical standards across the team\n\nContribute to strategic decisions around data architecture, AI infrastructure, and cloud platform direction\n\nWork with mobile attribution and customer engagement data sources including Adjust, MoEngage, and Firebase for ML use cases such as churn prediction, personalization, and campaign optimization\n\nRequirements\n7 to 15 or more years of experience in software engineering, data science, or ML engineering\n\nStrong background in product companies, scale-ups, or enterprise AI platforms\n\nProven track record of building production-grade AI systems, not solely notebooks or proof-of-concept work\n\nComfortable owning systems end-to-end from data through model through deployment through monitoring\n\nProduct-first engineering approach, not research-only profiles\n\nAdvanced Python engineering skills with strong systems thinking and a focus on production quality\n\nComfortable with fast iteration cycles and deploying models into live environments\n\nAbility to work directly and confidently with stakeholders and product owners\n\nFintech or financial services experience is an advantage\n\nTechnical Skills\nMachine Learning and AI: PyTorch, TensorFlow, XGBoost, LightGBM, Hugging Face (Transformers, Datasets, Diffusers)\nLLM and GenAI: OpenAI and Anthropic APIs, LangChain, LlamaIndex; RAG architectures with vector DB and retrieval pipelines; embedding models (OpenAI, Cohere, open-source); Pinecone, Weaviate, Milvus, FAISS; fine-tuning via LoRA and PEFT frameworks; evaluation using RAGAS and custom pipelines\nMLOps and Production: Docker, Kubernetes, MLflow, Weights and Biases, Airflow, Dagster, Prefect, GitHub Actions, GitLab CI, Evidently AI, Arize, custom observability stacks\nCloud: AWS (SageMaker, EKS, S3, Lambda), Azure ML, Azure Databricks, GCP\nData Stack: Databricks, Spark, PySpark, Delta Lake, Apache Iceberg, Lakehouse architectures\nWhy Join Us?\nWork with one of the world’s leading financial derivatives institutions.\n\nCompetitive salary plus performance-based incentives.\n\nAccess to a dynamic, international, and fast-growing environment.\n\nStrong opportunities for career progression within a global financial group.\n\nBe part of a business committed to innovation, excellence, and long-term growth.\n\nBecome part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.\nMultiBank Group is an equal opportunity employer. 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