5 Principal AI Engineer Machine Learning jobs in whatjobs
Principal AI Engineer, Machine Learning
Posted 20 days ago
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Key Responsibilities:
- Lead the research, development, and implementation of cutting-edge machine learning algorithms and models.
- Design and architect scalable AI systems and platforms.
- Develop and deploy predictive models, recommendation engines, natural language processing (NLP) systems, and computer vision solutions.
- Collaborate with data scientists and engineers to curate, clean, and preprocess large datasets.
- Evaluate and select appropriate machine learning frameworks and tools (e.g., TensorFlow, PyTorch, Scikit-learn).
- Optimize model performance, efficiency, and scalability for production environments.
- Stay abreast of the latest advancements in AI and machine learning research and apply them to solve complex business problems.
- Mentor and guide junior AI engineers and researchers.
- Publish research findings and present work at leading AI conferences.
- Ensure the ethical and responsible development and deployment of AI technologies.
- This fully remote role requires exceptional leadership, strategic thinking, and communication skills. You must be a proactive problem-solver and an excellent collaborator in a virtual environment. A strong publication record and experience with large-scale AI deployments are highly desirable. Join our client in pioneering the next generation of AI, remotely contributing from **Kitale, Trans-Nzoia, KE**, and beyond.
Principal AI Engineer, Machine Learning
Posted 19 days ago
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Principal AI Engineer - Machine Learning
Posted 10 days ago
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Job Description
Key Responsibilities:
- Lead the research, design, and implementation of sophisticated machine learning models and algorithms.
- Develop and deploy AI-powered applications and systems that solve complex business problems.
- Work with large datasets, ensuring data quality, preprocessing, and feature engineering.
- Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) for model development and optimization.
- Collaborate with cross-functional teams to integrate AI solutions into existing products and services.
- Mentor junior AI engineers, providing technical guidance and support.
- Stay abreast of the latest advancements in AI, machine learning, and related fields.
- Evaluate and select appropriate AI technologies and tools for project needs.
- Develop and implement MLOps strategies for model deployment, monitoring, and maintenance.
- Conduct experiments and fine-tune models for optimal performance and accuracy.
- Communicate complex technical concepts to both technical and non-technical audiences.
Principal AI Engineer - Machine Learning
Posted 4 days ago
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Job Description
Responsibilities:
- Lead the design, development, and implementation of sophisticated machine learning models and algorithms for various applications.
- Conduct research into new AI techniques and technologies, assessing their potential impact and applicability.
- Develop and optimize scalable ML pipelines for data processing, model training, evaluation, and deployment.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define AI requirements and solutions.
- Mentor and guide junior AI engineers, fostering a culture of technical excellence and innovation.
- Stay abreast of the latest advancements in AI, ML, deep learning, and related fields.
- Architect and build robust, production-ready AI systems and infrastructure.
- Evaluate and select appropriate ML frameworks, tools, and technologies.
- Troubleshoot and debug complex AI systems, ensuring high performance and reliability.
- Communicate technical concepts and project progress effectively to both technical and non-technical audiences.
This position is fully remote, enabling you to work from anywhere. The company has a significant operational base near **Mlolongo**, but the role's nature allows for complete remote engagement.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 8 years of experience in AI/ML engineering, with a significant focus on developing and deploying production-level models.
- Expertise in at least one major ML framework (e.g., TensorFlow, PyTorch, Scikit-learn).
- Proficiency in programming languages such as Python, Java, or C++.
- Deep understanding of various ML algorithms (e.g., deep neural networks, NLP, computer vision, reinforcement learning).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Strong foundation in mathematics, statistics, and data science principles.
- Proven ability to lead technical projects and mentor teams in a remote setting.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to articulate complex technical concepts clearly.
Principal AI Engineer (Machine Learning)
Posted 5 days ago
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