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Mploy - דרושים

דרושים Artificial Intelligence Engineer בכל הארץ

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Artificial Intelligence Engineer

 נכון לתאריך

 

15/12/2025

 כל הארץ

 Wajusoft

Job Summary

We are seeking a skilled and innovative AI Engineer to design, build, and deploy intelligent systems that solve real-world problems. The ideal candidate will work closely with product, engineering, and data teams to develop machine learning and AI-driven solutions, including predictive models, recommendation systems, and generative AI applications.

Key Responsibilities

  • Design, develop, and deploy AI/ML models for production use
  • Build and optimize machine learning pipelines (data ingestion, training, evaluation, deployment)
  • Implement and fine-tune models such as NLP, computer vision, recommendation systems, or LLM-based solutions
  • Integrate AI models into web or mobile applications via APIs
  • Work with large datasets to clean, preprocess, and transform data
  • Monitor model performance and improve accuracy, scalability, and efficiency
  • Collaborate with software engineers to ensure seamless AI integration
  • Stay updated with the latest AI research, tools, and best practices
  • Document model design, workflows, and technical decisions

Required Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
  • Strong experience with Python and ML libraries (TensorFlow, PyTorch, Scikit-learn)
  • Solid understanding of machine learning algorithms and statistics
  • Experience with data processing tools (Pandas, NumPy)
  • Familiarity with cloud platforms (AWS, GCP, or Azure)
  • Experience deploying models using REST APIs or microservices

Preferred / Nice-to-Have Skills

  • Experience with Generative AI and LLMs (OpenAI, LangChain, Hugging Face, RAG pipelines)
  • Knowledge of MLOps tools (MLflow, Kubeflow, Docker, Kubernetes)
  • Experience with databases (SQL, NoSQL, vector databases)
  • Understanding of data privacy, security, and ethical AI principles
  • Prior experience working in startups or fast-paced environments

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