✨Company Overview:
Founded as a subsidiary of T2, Nextwo set out with a clear mission: to harness the exceptional technology talent in Jordan and Egypt to serve Saudi Arabia's growing digital economy. What started as a focused staffing initiative has evolved into a comprehensive human capital and technical manpower partnership spanning SAP, Oracle, AI/ML, Cloud Architecture, Software Development, UI/UX, Fintech, and Finance.
Today, Nextwo operates across Saudi Arabia, Jordan, and Egypt — providing Offshore Development Centers, hybrid models, onsite manpower placement, and managed services. Our 90%+ talent retention rate and 60% cost savings speak to our commitment to quality and long-term partnership.
📌Job Summary:
The role exists to design, develop, and deploy AI, Machine Learning, and Generative AI solutions that solve business problems, automate processes, and create intelligent digital capabilities. The developer will transform data into actionable models, build scalable AI pipelines, and integrate GenAI features (LLMs, multimodal models, RAG, agents) into products and internal systems.
🎯Key Responsibilities:
- Build, train, and optimize machine learning models for prediction, classification, clustering, and recommendation use cases.
- Develop and fine tune Generative AI models (LLMs, diffusion models, embedding’s, transformers) for tasks such as text generation, summarization, chatbots, image generation, and code generation.
- Implement RAG (Retrieval-Augmented Generation) pipelines using vector databases and embedding models.
- Design and maintain end to end ML pipelines including data ingestion, preprocessing, feature engineering, model training, evaluation, and deployment.
- Integrate AI models into applications using APIs, micro services, and cloud platforms.
- Evaluate new AI/ML technologies, frameworks, and tools; recommend adoption where beneficial.
- Collaborate with product, engineering, and business teams to translate requirements into AI solutions.
- Ensure AI systems meet standards for performance, scalability, security, and ethical use.
- Monitor model performance in production and implement continuous improvement.
- Prepare documentation, technical reports, and model explain ability summaries.
✨General Skills & Competencies:
- Strong analytical and problem-solving mindset.
- Ability to translate business needs into technical solutions.
- Clear communication skills for explaining complex AI concepts to non-technical stakeholders.
- Collaboration and teamwork across cross functional groups.
- Curiosity and willingness to stay updated with fast moving AI advancements.
- Time management and ability to handle multiple projects.
- Ethical awareness regarding AI fairness, bias, and data privacy.
📌Technical Skills :
- Strong programming skills in Python (NumPy, Pandas, Scikit learn, PyTorch, TensorFlow).
- Experience with LLMs and GenAI frameworks: Hugging Face, LangChain, LlamaIndex, OpenAI APIs, Azure OpenAI, Anthropic, etc.
- Knowledge of transformer architectures, embeddings, prompt engineering, and fine tuning techniques (LoRA, QLoRA, PEFT).
- Experience with vector databases (FAISS, Pinecone, Weaviate, Chroma).
- Familiarity with MLOps tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes.
- Strong understanding of data engineering concepts: ETL, data pipelines, SQL/NoSQL, data lakes.
- Experience deploying models on cloud platforms (Azure, AWS, GCP).
- Ability to build APIs and microservices using FastAPI, Flask, or Node.js.
- Understanding of computer vision, NLP, or multimodal AI (optional but valuable).
- Knowledge of software engineering best practices: version control, testing, CI/CD.
