الصفحة الرئيسية الإمارات العربية المتحدة Machine Learning Engineer
الصفحة الرئيسية الإمارات العربية المتحدة Machine Learning Engineer
Machine Learning Engineer
تفاصيل الوظيفة
Job Summary
Saal.ai is seeking a highly skilled and experienced Machine Learning Engineer to join our innovative team. The ideal candidate will be adept in both research and development (R&D) and the practical implementation of robust AI models. This role requires a deep understanding of machine learning (ML), deep learning (DL), Generative AI models (including Large Language Models (LLMs)), natural language processing (NLP), and speech analysis and recognition. The candidate must possess strong Python and Java programming skills, scripting, and be proficient with ML frameworks and tools, microservices, Docker containers, automated ML pipelines, and basic DevOps skills.
Key Responsibilities
R&D Experimentation: Conduct cutting-edge research on ML, DL, Generative AI models, NLP, and speech recognition technologies to drive innovation and improve our AI solutions.
Model Development: Crawl data from various data sources, develop pipelines, build models, train, and optimize robust AI models using state-of-the-art techniques in NLP, speech analysis, and recognition.
AI Service Packaging: Package AI models as services, ensuring they are ready for deployment in production environments.
Deployment: Deploy AI services using microservices architecture and Docker containers for scalable and reliable operation.
Automated Pipelines: Design and implement automated machine learning pipelines for model training, testing, and inference.
Scalable Deployments: Develop and manage scalable deployments and distributed training processes to handle large-scale data and models.
Performance Monitoring: Continuously monitor and evaluate model performance, making necessary adjustments to improve accuracy and efficiency.
Collaboration: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to deliver high-quality AI solutions.
Required Skills and Qualifications
Education: Minimum of a Master's degree in Artificial Intelligence, Computer Science, or a relevant field.
Experience:
Proven experience in machine learning engineering with a focus on R&D and production-level deployment.
Extensive hands-on experience with ML frameworks and tools (TensorFlow, PyTorch, etc.).
Technical Skills:
Deep understanding of ML, DL, Generative AI models, NLP, and speech analysis and recognition with 4+ years of hands-on experience.
Proficiency in Python and Java programming and strong coding skills.
Experience with microservices architecture and Docker containers.
Expertise in automated ML pipelines for training, testing, and inference.
Knowledge of scalable deployments and distributed training techniques.
Familiarity with Ubuntu server commands and basic DevOps skills.
Problem-Solving Skills
Strong analytical and problem-solving skills, with the ability to troubleshoot complex AI and ML issues.
Ability to work effectively in a collaborative, fast-paced environment.
Excellent verbal and written communication skills to convey complex technical concepts to non-technical stakeholders.
#J-18808-Ljbffr Engineering
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الشركة المعلنة عن الوظيفة
Confidential
-
79 درهم
563 درهممدة الدورة التدريبية: Upto 5 Hours -
99 درهم
451 درهممدة الدورة التدريبية: Upto 93 Hours -
10,898 درهممدة الدورة التدريبية: 12 Weeks Live virtual classroom
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