| المنصب | Data Scientists |
| نُشر في | 27 Feb 2026 |
| انتهت الصلاحية | 29 Mar 2026 |
| الشركة | VAM Systems |
| الموقع | البحرين | BH |
| نوع الوظيفة | Full Time |
أحدث معلومات الوظائف من VAM Systems لمنصب Data Scientists. If the Data Scientists الشاغرة في البحرين تتوافق مع مؤهلاتك، يرجى تقديم أحدث طلب أو سيرة ذاتية مباشرة من خلال بوابة وظائف Jobkos المحدثة.
يرجى ملاحظة أن التقديم على وظيفة قد لا يكون سهلاً دائماً، حيث يجب على المرشحين الجدد استيفاء مؤهلات ومتطلبات معينة تحددها الشركة. نأمل أن تكون الفرصة المهنية في VAM Systems لمنصب Data Scientists أدناه تتوافق مع مؤهلاتك.
VAM Systems is currently looking for Data Scientists - Banking for our البحرين operations with the following skillsets and terms & conditions:
Years of Experience: 7 – 10 years
Qualification
Bachelor's Degree in Computer Science / Engineering
Preferably BE Computer Science & Engineering
Professional Training Required: Machine Learning, Deep Learning, MLOps, AI in Financial Services.
Professional Qualification Required: Google Professional ML Engineer, Microsoft AI Engineer Associate Professional Licenses Required Not applicable.
Professional Certifications Required: TensorFlow Developer Certificate, AWS Certified Machine Learning.
Must-Have:
•Proven hands-on delivery experience in banking, financial institutions, or insurance within Gen AI solutions such as chatbots, document analysis, etc., leveraging RAG and robust architecture with proper governance and security measures
•Several years of ML experience with implemented use cases.
•Hands-on work experience most of which in banking, financial institutions, or insurance industries.
Experience required:
Ability to build and deploy ML models using Python and relevant libraries. Understanding of supervised and unsupervised learning algorithms.
Experience with model evaluation and performance metrics.
Familiarity with AI use cases in banking (e.g., fraud detection, personalization) Knowledge of data preprocessing and feature engineering.
Ability to work with cloud-based ML platforms (e.g., Azure ML, AWS SageMaker). Understanding of MLOps and model lifecycle management.
Ability to communicate insights and build explainable AI models.
Core AI / NLP Engineering
• Python (PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI API, Anthropic Claude, etc.)
• LLM fine-tuning (LoRA, PEFT, prompt tuning)
• Retrieval-Augmented Generation (RAG), vector databases (Pinecone, FAISS, Weaviate, Chroma)
• Prompt engineering and orchestration (LangChain, LlamaIndex, Semantic Kernel, DSPy)
• Knowledge of embeddings, tokenization, and transformer architecture
• Cloud AI tools: AWS Bedrock, Azure OpenAI, Vertex AI, OpenSearch, ElasticSearch
•Model evaluation: hallucination detection, grounding, and benchmarking (BLEU, ROUGE, TruthfulQA, etc.)
Software Engineering & Backend Integration
•RESTful and GraphQL APIs, webhooks
• Containerization and deployment (Docker, Kubernetes, CI/CD)
• Authentication and user/session management
• Data pipelines and microservices
• Knowledge of frameworks like FastAPI, Flask, NestJS, or Express
• Integration with enterprise data (SharePoint, Salesforce, SQL, internal APIs)
Agent Orchestration & Tooling
• LangGraph, AutoGen, CrewAI, Flowise, or similar agent frameworks
• Task-decomالمنصب and reasoning chains
• Function calling, tool use, and API chaining
• Memory design (short-term vs long-term)
• Context management and grounding strategies.
Joining time frame: days)
بعد قراءة وفهم المعايير ومتطلبات الحد الأدنى من المؤهلات الموضحة في معلومات الوظيفة Data Scientists at the office البحرين أعلاه، أكمل فوراً ملفات طلب الوظيفة مثل خطاب التقديم، السيرة الذاتية، نسخة من الشهادة الجامعية، كشف الدرجات، والملاحق الأخرى كما هو موضح أعلاه. أرسلها عبر رابط الصفحة التالية أدناه.
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