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: (15 - 30 days)