2 Machine Learning Engineer AI Research jobs in whatjobs
Machine Learning Engineer - AI Research
Posted 19 days ago
Job Viewed
Job Description
Our client is at the forefront of AI innovation and is seeking a highly talented and driven Machine Learning Engineer to join their advanced research team. This is a fully remote position, offering the opportunity to work on groundbreaking projects from anywhere. The ideal candidate will have a strong academic background and hands-on experience in developing, deploying, and optimizing machine learning models. You will be instrumental in designing and implementing cutting-edge algorithms, conducting experiments, and contributing to the advancement of artificial intelligence. Your responsibilities will include data preprocessing, feature engineering, model selection, training, evaluation, and deployment. You will collaborate closely with data scientists, software engineers, and domain experts to translate research findings into practical AI solutions. Experience with various ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) is essential. A deep understanding of statistical modeling, algorithms, and data structures is required. This role demands a curious and analytical mind, with a passion for solving complex problems and pushing the boundaries of machine learning. The ability to work independently, manage research projects, and communicate technical findings effectively in a remote setting is crucial. We are looking for individuals who are eager to contribute to impactful research and development in the field of AI. You will have the opportunity to work with large datasets and cutting-edge computational resources. The successful candidate will possess strong programming skills in Python or other relevant languages, and a commitment to staying current with the latest advancements in ML and AI research. This is an exceptional opportunity for a skilled engineer to make significant contributions to the field and work in a highly collaborative and innovative remote environment.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement machine learning models and algorithms.
- Conduct research and experiments to advance AI capabilities.
- Process, clean, and analyze large datasets.
- Perform feature engineering and model selection.
- Train, evaluate, and optimize machine learning models.
- Deploy ML models into production environments.
- Collaborate with research and engineering teams on AI projects.
- Stay up-to-date with the latest advancements in ML and AI.
- Document research findings and technical specifications.
- Contribute to the development of new AI products and services.
Qualifications:
- Master's or Ph.D. in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- 3+ years of experience in machine learning engineering or AI research.
- Proficiency in programming languages such as Python.
- Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Strong understanding of statistical modeling, algorithms, and data structures.
- Experience with data manipulation and analysis tools.
- Excellent problem-solving and analytical skills.
- Ability to work independently and manage research projects in a remote setting.
- Strong communication and presentation skills.
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Machine Learning Engineer - AI Research
Posted 17 days ago
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Job Description
Our client is at the forefront of AI innovation and is seeking a brilliant Machine Learning Engineer to join their cutting-edge research team. This is a fully remote position, allowing you to work with a world-class team from your preferred location. The successful candidate will be responsible for designing, developing, and deploying advanced machine learning models and algorithms that power next-generation AI solutions. You will work with large datasets, conduct rigorous experimentation, and translate research findings into production-ready systems. This role requires a deep understanding of statistical modeling, deep learning frameworks (e.g., TensorFlow, PyTorch), and programming languages such as Python. Your responsibilities will include exploring new AI techniques, building robust ML pipelines, and collaborating with data scientists and software engineers to integrate AI capabilities into various applications. The Machine Learning Engineer will also be involved in performance tuning, model evaluation, and staying abreast of the latest advancements in the field of artificial intelligence and emerging technologies. Excellent problem-solving skills, a strong analytical mindset, and a passion for pushing the boundaries of AI are essential. You should have a proven ability to work independently, manage complex projects, and communicate technical concepts effectively. A PhD or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field is highly preferred. This is an unparalleled opportunity to contribute to groundbreaking AI research and development and shape the future of technology.Thika, Kiambu, KE
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