Software Engineer - Machine Learning
# Software Engineer - Machine Learning **Advansys ME** · Nasr City · `On-site` 🕒 **Статус:** *Опубликовано: 10 дней назад* · *Источник: Indeed* --- ### About the Role Key Responsibilities - Lead the entire ML lifecycle from data collection and analysis to model deployment, monitoring, and optimization. - Apply deep learning and NLP techniques to develop solutions, potentially enhancing systems like search or recommendation engines. - Design and implement end-to-end ML pipelines, incorporating MLOps best practices for CI/CD, containerization (Docker, Kubernetes), and cloud deployment (AWS, GCP, Azure). - Utilize LLM knowledge, including prompt engineering and fine-tuning, to build advanced generative AI applications and conversational AI solutions. - Perform comprehensive data analytics, including statistical analysis and feature engineering, to inform model development and extract actionable insights from large datasets. - Write production-quality, robust code in Python (and potentially other languages like Java or Scala), ensuring code quality through reviews and testing. - Collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to translate business requirements into technical ML solutions. Requirements Required Skills and Qualifications - Proven experience as a Machine Learning Engineer with a strong portfolio of deployed production models. - Proficiency in Python and relevant ML frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Expertise in data science methodologies, statistical analysis, and data analytics. - Hands-on experience with MLOps tools and practices for managing the ML application lifecycle. - Strong understanding of NLP and experience with LLMs and prompt engineering techniques. - Solid software engineering background with knowledge of data structures, algorithms, and system design. - Excellent problem-solving, communication, and collaboration skills.
Наблюдалась 2026-10-15, впервые 2026-10-05, найдена на 2 площадках, источник — Indeed.