الرئيسية » AI/ML Specialists Data Scientists/ ML Engineer

AI/ML Specialists Data Scientists/ ML Engineer at VAM Systems

المنصب AI/ML Specialists Data Scientists/ ML Engineer
نُشر في 21 Jun 2026
انتهت الصلاحية 21 Jul 2026
الشركة VAM Systems
الموقع Capital | BH
نوع الوظيفة Full Time

الوصف الوظيفي:

أحدث معلومات الوظائف من VAM Systems لمنصب AI/ML Specialists Data Scientists/ ML Engineer. If the AI/ML Specialists Data Scientists/ ML Engineer الشاغرة في Capital 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 AI/ML Specialists Data Scientists/ ML Engineer أدناه تتوافق مع مؤهلاتك.

Job Description

VAM Systems is currently looking for AI/ML Specialists (Data Scientists/ML Engineer) (On-Site) 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.
Job Responsibility

Design and develop machine learning models to support AI driven banking solutions. Collaborate with data engineers to access and prepare data for modeling. Apply statistical and ML techniques to solve business problems (e.g., churn prediction, credit scoring). Evaluate model performance and optimize for accuracy, precision, and recall. Deploy models into production using MLOps frameworks and CI/CD pipelines. Ensure models are explainable, auditable, and compliant with regulatory standards. Work with business stakeholders to identify AI opportunities and define success metrics. Document model assumptions, data sources, and performance benchmarks.

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.
Conversational UX / Design
  • Conversation design frameworks (Google CCAI, Microsoft Bot Framework, Voiceflow, Botpress)
  • Flow design and intent management (Dialogflow, Rasa, Cognigy)
  • Tone, empathy, and personality design for AI personas
  • A/B testing dialogue variants and measuring user satisfaction.
Data & Infrastructure
  • Data pipelines (Airflow, dbt, Kafka)
  • Structured/unstructured data ingestion (PDFs, databases, APIs)
  • Feature store and model registry management (MLflow, Kubeflow)
  • Vector database deployment and optimization
  • Monitoring, logging, and drift detection.
Governance, Security & Compliance
  • Model explainability (SHAP, LIME)
  • Bias/fairness audits and data privacy
  • Compliance with GDPR, ISO 42001, NIST AI RMF, and local banking regulations
  • Secure prompt logging and audit trails.
Products & Strategy
  • Translating business problems into AI use cases
  • Roadmapping and budget planning
  • KPI design (accuracy, user satisfaction, automation ROI)
  • Vendor management (OpenAI, Anthropic, AWS, etc.)
  • Change management and user adoption
Joining time frame

15 - 30 days

معلومات الوظيفة:

  • الشركة: VAM Systems
  • المنصب: AI/ML Specialists Data Scientists/ ML Engineer
  • مكان العمل: Capital
  • الدولة: BH

كيفية تقديم الطلب:

بعد قراءة وفهم المعايير ومتطلبات الحد الأدنى من المؤهلات الموضحة في معلومات الوظيفة AI/ML Specialists Data Scientists/ ML Engineer at the office Capital 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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