264 AI Team Lead jobs in Vietnam
Lead AI Engineer - Machine Learning
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Lead AI Engineer - Machine Learning
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Key Responsibilities:
- Lead the research, development, and implementation of advanced machine learning models and algorithms (e.g., NLP, computer vision, reinforcement learning).
- Design and build scalable AI/ML systems and 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 project requirements and roadmaps.
- Mentor and guide junior AI engineers and data scientists, fostering a culture of technical excellence and innovation.
- Stay abreast of the latest advancements in AI, machine learning, and deep learning research, and identify opportunities for applying new techniques.
- Ensure the performance, scalability, and reliability of AI solutions in production environments.
- Develop and implement best practices for MLOps, including model versioning, monitoring, and retraining strategies.
- Contribute to the architectural design of AI platforms and infrastructure.
- Communicate complex technical concepts effectively to both technical and non-technical audiences.
- Evaluate and integrate new AI technologies and tools to enhance the team's capabilities.
- Write high-quality, production-ready code in languages such as Python, utilizing libraries like TensorFlow, PyTorch, and scikit-learn.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related quantitative field.
- Minimum of 7 years of hands-on experience in machine learning and AI development, with at least 2 years in a lead or senior capacity.
- Proven track record of successfully designing, building, and deploying production-level AI/ML models.
- Deep expertise in various machine learning algorithms, statistical modeling, and data mining techniques.
- Proficiency in programming languages like Python and experience with ML frameworks (TensorFlow, PyTorch, Keras).
- Strong understanding of cloud platforms (AWS, Azure, GCP) and MLOps principles.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership and team management abilities, with experience mentoring junior engineers.
- Exceptional communication and collaboration skills, essential for effective remote teamwork.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
Lead AI Engineer - Machine Learning
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Remote AI Ethics Lead
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Key Responsibilities:
- Develop and implement a comprehensive AI ethics framework, including principles, policies, and best practices.
- Assess potential ethical risks and societal impacts of AI technologies throughout their lifecycle.
- Provide expert guidance on ethical considerations in AI research, development, and deployment.
- Collaborate with AI researchers and engineers to integrate ethical considerations into system design and data governance.
- Develop and deliver training programs on AI ethics for internal teams.
- Monitor emerging trends and regulations in AI ethics globally and ensure compliance.
- Advise on bias detection and mitigation strategies in AI algorithms and datasets.
- Facilitate discussions and workshops on AI ethics with stakeholders across the organization.
- Contribute to the development of ethical AI documentation and transparent communication materials.
- Stay at the forefront of AI advancements and their ethical implications.
- Engage with external experts, industry groups, and policymakers on AI ethics issues.
- Conduct ethical reviews of AI projects and provide recommendations for responsible implementation.
- Foster a proactive and ingrained culture of ethical AI development within the company.
Qualifications:
- Advanced degree (Master's or Ph.D.) in AI, Computer Science, Philosophy, Ethics, Law, or a related interdisciplinary field.
- Minimum of 7 years of experience in AI/ML development, data science, or a related technical field, with a significant focus on ethical considerations and responsible AI.
- Demonstrated expertise in AI ethics principles, frameworks, and challenges (e.g., fairness, accountability, transparency, privacy).
- Strong understanding of machine learning algorithms, data science methodologies, and AI system architectures.
- Proven ability to develop and implement effective policies and guidelines.
- Excellent analytical, critical thinking, and problem-solving skills.
- Exceptional communication and interpersonal skills, with the ability to engage diverse audiences.
- Experience working in a remote, collaborative environment is essential.
- Knowledge of relevant legal and regulatory landscapes concerning AI and data privacy.
- Ability to influence and drive change within an organization.
Remote AI Ethics Lead
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Key responsibilities will include:
- Developing, implementing, and maintaining the company's AI ethics framework, policies, and guidelines.
- Conducting ethical risk assessments for new and existing AI products and features.
- Collaborating with AI research and engineering teams to embed ethical considerations throughout the AI lifecycle.
- Staying current with evolving AI ethics research, best practices, and regulatory requirements globally.
- Providing guidance and training to employees on AI ethics principles and practices.
- Engaging with external stakeholders, including regulators, academics, and civil society organizations, on AI ethics matters.
- Investigating and resolving ethical concerns related to AI systems.
- Contributing to thought leadership in the field of AI ethics through publications, presentations, and internal knowledge sharing.
- Developing mechanisms for transparency and accountability in AI systems.
- Advising on the societal impact of AI technologies.
The ideal candidate will possess a Master's or Ph.D. in a relevant field such as Computer Science, Philosophy, Law, Public Policy, Sociology, or a related discipline with a strong focus on AI ethics. You should have significant experience (5+ years) in AI ethics, responsible AI, technology policy, or a related field, with a proven ability to develop and implement ethical frameworks. A strong understanding of machine learning concepts and the technical aspects of AI is essential. Excellent analytical, critical thinking, and problem-solving skills are required. Outstanding communication, interpersonal, and influencing skills are necessary to effectively engage with diverse stakeholders and champion ethical AI practices. This is a critical role for ensuring our client's AI development is both innovative and responsible, all performed remotely from Nam Dinh, Nam Dinh, VN .
Remote AI Ethics Lead
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Lead AI Engineer, Machine Learning Platforms
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Lead AI Engineer - Remote Machine Learning Solutions
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Lead AI Ethicist
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Lead AI Ethicist
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