AI/ML Engineer
# AI/ML Engineer **WiselyWise** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Machine-Learning-Engineer]` `[AI-Engineer]` `[AI-ML-Engineer]` `[Data-Scientist]` `[Software-Engineer]` `[AI-ML-Software-Engineer]` `[AI-ML-Engineer-Jobs]` `[AI-ML-Engineering-Jobs]` --- ### About the Role Category: Technology Location: About Us: WiselyWise is a leading innovator in AI-driven technology. We are seeking a highly skilled AI/ML Engineer to join our team and drive the development and deployment of advanced machine learning models and AI-driven solutions. The ideal candidate will have a strong background in machine learning algorithms, data processing, and software engineering, with a passion for solving complex problems in a dynamic environment. This role will play a critical part in the implementation of AI technologies within the upstream Oil & Gas sector, helping to optimize exploration, drilling, and production processes. Job Overview: We are seeking a highly skilled AI/ML Engineer to join our team and drive the development and deployment of advanced machine learning models and AI-driven solutions. The ideal candidate will have a strong background in machine learning algorithms, data processing, and software engineering, with a passion for solving complex problems in a dynamic environment. This role will play a critical part in the implementation of AI technologies within the upstream Oil & Gas sector, helping to optimize exploration, drilling, and production processes. Requirements Key Responsibilities: - Model Development:Design, develop, and implement machine learning models and AI algorithms tailored to industry-specific use cases, particularly in predictive analytics, natural language processing, and computer vision. - Data Processing:Collaborate with data engineers to build and maintain robust data pipelines, ensuring high-quality data is available for model training and deployment. - Algorithm Optimization:Optimize machine learning models for performance, scalability, and accuracy, employing techniques such as hyperparameter tuning, model selection, and feature engineering. - Collaboration:Work closely with data scientists, domain experts, and software developers to integrate AI models into production systems and create end-to-end solutions that meet business objectives. - Model Deployment:Deploy machine learning models into production environments using industry-standard tools and frameworks, ensuring reliability and scalability. - Continuous Improvement:Monitor the performance of AI models post-deployment, making iterative improvements based on feedback and changing business needs. - Innovation:Stay up-to-date with the latest advancements in AI/ML technologies and best practices, and apply this knowledge to drive continuous innovation within the team. - Documentation:Create comprehensive documentation for developed models, algorithms, and processes to ensure knowledge sharing and maintainability. Qualifications: - Education:Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. A Ph.D. is a plus. - Experience:3+ years of experience in AI/ML engineering, with a proven track record of developing and deploying machine learning models in a production environment. - Technical Skills: - Proficiency in programming languages such as Python, R, or Java. - Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. - Strong understanding of data structures, algorithms, and software design principles. - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI models. - Familiarity with big data technologies such as Hadoop, Spark, or Kafka is a plus. - Experience with containerization and orchestration tools like Docker and Kubernetes. - Analytical Skills:Strong problem-solving skills with the ability to analyze complex datasets and develop innovative AI solutions. - Communication:Excellent verbal and written communication skills, with the ability to collaborate effectively across multidisciplinary teams. Industry Knowledge:Experience in the Oil & Gas sector is a plus but not required. Preferred Qualifications: - Experience with natural language processing (NLP) and computer vision. - Experience with real-time data processing and streaming analytics. - Familiarity with ethical AI practices and the ability to implement AI models responsibly. Benefits Why Join Us: - Opportunity to work on cutting-edge AI projects that have a tangible impact on critical industries. - Collaborative and innovative work environment. - Competitive compensation and benefits package. - Opportunities for professional growth and continuous learning. Details Originally posted on Himalayas
- Machine-Learning-Engineer
- AI-Engineer
- AI-ML-Engineer
- Data-Scientist
- Software-Engineer
- AI-ML-Software-Engineer
- AI-ML-Engineer-Jobs
- AI-ML-Engineering-Jobs
Наблюдалась 2026-10-16, впервые 2026-10-16, источник — Himalayas (JSON API).