AI/ML Specialists

1 day ago

Manama, Manama, Bahrain VAM SYSTEMS Full time

Job Description

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

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)

Joining time frame: days)

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