Principal AI Researcher (Generative Models)
SW1A 0AA London, London
£100000 Annually
WhatJobs
Posted 10 days ago
Job Viewed
Job Description
Our client, a visionary research lab pushing the boundaries of Artificial Intelligence, is seeking an exceptional Principal AI Researcher to lead groundbreaking work in generative models. This role is fully remote and offers the opportunity to influence the direction of future AI technologies.
As a Principal AI Researcher, you will spearhead innovative research initiatives focused on developing novel generative AI techniques and architectures. Your work will involve conceptualizing, designing, and implementing advanced models for tasks such as image synthesis, text generation, and complex data creation. You will conduct rigorous theoretical and empirical investigations, publish findings in top-tier AI conferences and journals, and contribute to patent applications. This role requires a deep dive into cutting-edge research, fostering a culture of innovation and exploration.
Key responsibilities include exploring new paradigms in deep learning, developing novel algorithms for large-scale generative models, and collaborating with a world-class team of researchers and engineers. You will mentor junior researchers, guide research direction, and actively engage with the broader AI community. The ability to identify future research trends and translate complex scientific concepts into tangible advancements will be critical. This role is driven by scientific curiosity and a passion for transformative AI discovery.
We are looking for candidates with a PhD in Computer Science, Machine Learning, or a related field, coupled with a substantial publication record in leading AI venues. A minimum of 8 years of dedicated AI research experience, with a strong emphasis on generative models (GANs, VAEs, Diffusion Models, etc.), is required. Exceptional proficiency in Python and ML frameworks such as PyTorch or TensorFlow is essential. A proven ability to lead research projects, inspire teams, and articulate complex technical concepts clearly is paramount. Experience in large-scale distributed training and an understanding of ethical AI considerations are highly desirable. This is a unique opportunity for a pioneering researcher to make a profound impact in the field of AI from a fully remote setting.
Qualifications:
As a Principal AI Researcher, you will spearhead innovative research initiatives focused on developing novel generative AI techniques and architectures. Your work will involve conceptualizing, designing, and implementing advanced models for tasks such as image synthesis, text generation, and complex data creation. You will conduct rigorous theoretical and empirical investigations, publish findings in top-tier AI conferences and journals, and contribute to patent applications. This role requires a deep dive into cutting-edge research, fostering a culture of innovation and exploration.
Key responsibilities include exploring new paradigms in deep learning, developing novel algorithms for large-scale generative models, and collaborating with a world-class team of researchers and engineers. You will mentor junior researchers, guide research direction, and actively engage with the broader AI community. The ability to identify future research trends and translate complex scientific concepts into tangible advancements will be critical. This role is driven by scientific curiosity and a passion for transformative AI discovery.
We are looking for candidates with a PhD in Computer Science, Machine Learning, or a related field, coupled with a substantial publication record in leading AI venues. A minimum of 8 years of dedicated AI research experience, with a strong emphasis on generative models (GANs, VAEs, Diffusion Models, etc.), is required. Exceptional proficiency in Python and ML frameworks such as PyTorch or TensorFlow is essential. A proven ability to lead research projects, inspire teams, and articulate complex technical concepts clearly is paramount. Experience in large-scale distributed training and an understanding of ethical AI considerations are highly desirable. This is a unique opportunity for a pioneering researcher to make a profound impact in the field of AI from a fully remote setting.
Qualifications:
- PhD in Computer Science or related field.
- 8+ years of AI research experience, specializing in generative models.
- Strong publication record in top AI conferences/journals.
- Expertise in Python and deep learning frameworks.
- Proven ability to lead research initiatives.
- Deep understanding of generative AI architectures.
- Excellent theoretical and empirical research skills.
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0
AI Research Scientist - Generative Models
SW1A 0AA London, London
£80000 Annually
WhatJobs
Posted 20 days ago
Job Viewed
Job Description
Our client, a leader in pushing the boundaries of Artificial Intelligence, is seeking an exceptional AI Research Scientist specializing in Generative Models to join their innovative and fully remote team. Based in the vibrant tech hub of London, England, UK , this role offers a unique opportunity to contribute to groundbreaking research and development in cutting-edge AI. You will be instrumental in designing, implementing, and evaluating novel algorithms and models that redefine the capabilities of artificial intelligence. This position requires a deep theoretical understanding of machine learning and deep learning, coupled with strong practical implementation skills.
Key Responsibilities:
Key Responsibilities:
- Conduct state-of-the-art research in generative artificial intelligence, including but not limited to GANs, VAEs, diffusion models, and large language models.
- Design, develop, and implement novel AI algorithms and architectures.
- Perform rigorous experimentation and evaluation of AI models, analysing results to drive further innovation.
- Collaborate closely with a team of world-class researchers and engineers on ambitious projects.
- Publish research findings in top-tier academic conferences and journals.
- Develop and maintain high-quality, production-ready code for AI models.
- Contribute to the intellectual property of the company through patents and new research directions.
- Mentor junior researchers and interns, fostering a culture of continuous learning and discovery.
- Stay at the forefront of AI research by continuously exploring new literature and techniques.
- Engage in knowledge sharing through presentations and internal discussions.
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field with a strong publication record.
- Proven track record of research and development in generative models.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Strong programming skills in Python.
- Deep understanding of machine learning theory, statistical modelling, and optimisation techniques.
- Experience with large-scale data processing and distributed training is highly advantageous.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Exceptional communication and collaboration skills, with the ability to articulate complex ideas clearly.
- A passion for pushing the frontiers of AI and a drive for innovation.
This advertiser has chosen not to accept applicants from your region.
1
Principal AI Research Scientist - Generative Models
SW1A 0AA London, London
£90000 Annually
WhatJobs
Posted today
Job Viewed
Job Description
Our client, a pioneering force in AI and emerging technologies based in **London, England, UK**, is seeking a distinguished Principal AI Research Scientist to lead groundbreaking research in generative models. This hybrid role offers a unique opportunity to work at the forefront of AI innovation, contributing to the development of state-of-the-art algorithms and applications that will shape future technologies. You will be instrumental in pushing the boundaries of what is possible with artificial intelligence.
Responsibilities:
Responsibilities:
- Conduct cutting-edge research in generative AI, focusing on areas such as large language models, diffusion models, GANs, and their applications.
- Develop novel AI algorithms and architectures, and contribute to their implementation and evaluation.
- Publish research findings in top-tier academic conferences and journals.
- Collaborate with a world-class team of researchers and engineers to translate research into practical, impactful products and services.
- Stay abreast of the latest advancements in AI, machine learning, and related fields.
- Mentor junior researchers and contribute to the growth of the AI research team.
- Design and execute rigorous experiments to validate research hypotheses and measure model performance.
- Present research findings to technical and non-technical audiences, including senior management and external stakeholders.
- Identify and explore new research directions and potential applications of generative AI.
- Contribute to the intellectual property portfolio through patent filings and publications.
- Ensure research methodologies are robust and reproducible.
- Participate in and contribute to the broader AI research community.
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- A minimum of 7 years of research experience in AI, with a strong focus on generative models and deep learning.
- Proven track record of significant contributions to the field, evidenced by publications in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) and/or patents.
- Deep expertise in one or more areas of generative AI, such as LLMs, diffusion models, GANs, VAEs, or related techniques.
- Strong programming skills in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to articulate complex technical concepts clearly.
- Ability to work effectively in a collaborative, fast-paced, research-intensive environment.
- Experience leading research projects and mentoring junior team members is highly desirable.
- Demonstrated ability to think creatively and independently.
This advertiser has chosen not to accept applicants from your region.
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Principal AI Research Scientist - Generative Models
SW1A 0AA London, London
£90000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is seeking a visionary and highly experienced Principal AI Research Scientist to join their cutting-edge AI & Emerging Technologies team in **London, England, UK**. This role is pivotal in driving innovation and shaping the future of artificial intelligence, with a focus on developing and implementing advanced generative models. You will be at the forefront of research, exploring novel algorithms and architectures for natural language processing, computer vision, and reinforcement learning.
Responsibilities:
Qualifications:
Responsibilities:
- Lead the research and development of state-of-the-art AI models, with a strong emphasis on generative AI techniques.
- Design, implement, and evaluate new algorithms and methodologies to solve complex AI challenges.
- Collaborate with cross-functional teams, including engineers and product managers, to translate research breakthroughs into practical applications.
- Publish research findings in top-tier AI conferences and journals.
- Mentor junior researchers and contribute to the growth of the AI team.
- Stay abreast of the latest advancements in the AI landscape and identify opportunities for innovation.
- Contribute to the strategic direction of AI research within the organization.
- Ensure ethical considerations and responsible AI development practices are integrated into all research projects.
Qualifications:
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- A minimum of 8 years of post-doctoral research experience in AI, with a proven track record of significant contributions to the field.
- Deep expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and proficiency in programming languages such as Python.
- Extensive experience with generative models, including GANs, VAEs, diffusion models, and transformers.
- Strong theoretical understanding of machine learning principles, algorithms, and statistical modeling.
- Demonstrated ability to lead complex research projects from conception to completion.
- Excellent communication and presentation skills, with the ability to articulate complex technical concepts to diverse audiences.
- Published work in leading AI venues (e.g., NeurIPS, ICML, ICLR, CVPR, ACL).
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3
Lead AI Research Scientist - Generative Models
SW1A 0AA London, London
£80000 annum + sto
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is a cutting-edge technology firm at the forefront of AI innovation, dedicated to pushing the boundaries of what's possible. We are looking for a visionary Lead AI Research Scientist specializing in Generative Models to join our dynamic team in **London**. This hybrid role allows for a blend of collaborative in-office work and focused remote sessions. You will spearhead research initiatives, develop novel algorithms, and contribute to next-generation AI products. This is an unparalleled opportunity to work with world-class talent and shape the future of artificial intelligence.
Key Responsibilities:
Qualifications:
Join our pioneering team in **London** and lead the charge in shaping the future of AI. If you are a passionate researcher with a vision for generative AI, we invite you to apply.
Key Responsibilities:
- Lead and conduct pioneering research in generative artificial intelligence, including LLMs, diffusion models, GANs, and VAEs.
- Develop novel algorithms and methodologies to advance the state-of-the-art in AI generation.
- Design and implement complex AI models and systems, ensuring robustness, scalability, and efficiency.
- Collaborate closely with engineering teams to integrate research breakthroughs into production-ready AI solutions.
- Publish research findings in top-tier AI conferences and journals.
- Mentor and guide junior research scientists and engineers, fostering a culture of innovation and scientific rigor.
- Stay abreast of the latest advancements in AI and machine learning globally.
- Define research roadmaps and identify promising new avenues for exploration.
- Evaluate and experiment with new AI frameworks, tools, and technologies.
- Contribute to the intellectual property portfolio through patent applications.
- Present research outcomes and strategic insights to senior leadership and external stakeholders.
Qualifications:
- PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of post-doctoral or industry research experience, with a strong focus on generative models.
- Proven track record of impactful research, evidenced by publications in leading venues (e.g., NeurIPS, ICML, ICLR, CVPR).
- Deep understanding of deep learning architectures, optimisation techniques, and modern AI frameworks (e.g., TensorFlow, PyTorch).
- Hands-on experience with large-scale model training and deployment.
- Exceptional analytical, problem-solving, and critical thinking skills.
- Strong leadership and mentorship capabilities.
- Excellent communication and presentation skills, with the ability to convey complex technical concepts to diverse audiences.
- Experience working in a hybrid work environment, balancing remote and office-based collaboration.
- Proficiency in programming languages such as Python.
- Experience with distributed training and cloud computing platforms (AWS, GCP, Azure) is a plus.
Join our pioneering team in **London** and lead the charge in shaping the future of AI. If you are a passionate researcher with a vision for generative AI, we invite you to apply.
This advertiser has chosen not to accept applicants from your region.
4
Lead AI Research Scientist (Generative Models)
SW1A 0AA London, London
£95000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client is at the forefront of Artificial Intelligence innovation and is seeking an exceptional Lead AI Research Scientist specializing in Generative Models. This is a fully remote position, offering unparalleled autonomy and the opportunity to shape the future of AI from your home environment. You will lead groundbreaking research into advanced generative AI techniques, including large language models, diffusion models, and GANs, driving the development of novel applications and solutions. The role demands a deep theoretical understanding of machine learning, extensive practical experience with state-of-the-art AI architectures, and the ability to guide a research team in a collaborative, distributed setting. You will be instrumental in pushing the boundaries of what's possible with AI.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Lead and conduct cutting-edge research in generative AI, focusing on areas such as large language models, image generation, and reinforcement learning.
- Design, implement, and evaluate novel AI algorithms and model architectures.
- Develop and train complex AI models on large-scale datasets using high-performance computing resources.
- Collaborate closely with software engineers and product managers to translate research prototypes into production-ready AI systems.
- Mentor and guide a team of AI researchers and engineers, fostering innovation and technical excellence.
- Publish research findings in top-tier AI conferences and journals.
- Stay abreast of the latest advancements in the rapidly evolving field of AI and machine learning.
- Contribute to the strategic direction of the company's AI research roadmap.
- Develop and maintain expertise in relevant programming languages (e.g., Python) and AI frameworks (e.g., TensorFlow, PyTorch).
- Present research outcomes and strategic proposals to senior leadership and stakeholders.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of significant contributions to generative AI research, evidenced by publications in leading conferences (e.g., NeurIPS, ICML, ICLR) and journals.
- Extensive experience with deep learning frameworks such as TensorFlow, PyTorch, JAX.
- Deep understanding of mathematical foundations of machine learning, including probability, statistics, and linear algebra.
- Experience leading research projects and mentoring junior researchers.
- Excellent problem-solving skills and a creative, analytical mindset.
- Exceptional communication and collaboration skills, vital for effective remote teamwork.
- Experience with distributed training and large-scale model deployment is highly desirable.
- Passion for pushing the boundaries of AI technology.
This advertiser has chosen not to accept applicants from your region.
5
Principal AI Research Scientist - Generative Models
WC1A 0AA London, London
£90000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client, a leading innovator at the intersection of AI and emerging technologies, is seeking a distinguished Principal AI Research Scientist specializing in Generative Models to join their elite research division. This role is based in London, England, UK , with a flexible remote work option, allowing top talent to contribute to groundbreaking research. You will lead research initiatives focused on developing novel generative AI techniques, including but not limited to, large language models (LLMs), diffusion models, and adversarial networks. Your work will involve designing, implementing, and evaluating advanced algorithms, pushing the boundaries of what is possible in AI-driven content creation, data synthesis, and complex problem-solving.
Responsibilities include publishing research findings in top-tier academic conferences and journals, contributing to patent applications, and collaborating with engineering teams to translate research prototypes into deployable AI solutions. You will stay abreast of the latest advancements in the field, identify promising research directions, and mentor junior researchers. A deep understanding of machine learning theory, deep learning architectures, and optimization techniques is essential. Experience with major deep learning frameworks (e.g., TensorFlow, PyTorch) and proficiency in programming languages such as Python are required.
We are looking for candidates with a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a substantial publication record in areas related to generative models. A minimum of 8 years of post-doctoral research experience or equivalent industry experience in AI research is necessary. Proven experience in leading research projects and successfully developing and deploying advanced AI models is crucial. Exceptional analytical, problem-solving, and communication skills are a must. The ability to articulate complex technical concepts to diverse audiences and to foster a collaborative research environment is highly valued. This is a unique opportunity to shape the future of AI and contribute to transformative technological advancements.
Responsibilities include publishing research findings in top-tier academic conferences and journals, contributing to patent applications, and collaborating with engineering teams to translate research prototypes into deployable AI solutions. You will stay abreast of the latest advancements in the field, identify promising research directions, and mentor junior researchers. A deep understanding of machine learning theory, deep learning architectures, and optimization techniques is essential. Experience with major deep learning frameworks (e.g., TensorFlow, PyTorch) and proficiency in programming languages such as Python are required.
We are looking for candidates with a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a substantial publication record in areas related to generative models. A minimum of 8 years of post-doctoral research experience or equivalent industry experience in AI research is necessary. Proven experience in leading research projects and successfully developing and deploying advanced AI models is crucial. Exceptional analytical, problem-solving, and communication skills are a must. The ability to articulate complex technical concepts to diverse audiences and to foster a collaborative research environment is highly valued. This is a unique opportunity to shape the future of AI and contribute to transformative technological advancements.
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6
Senior AI Research Scientist - Generative Models
SW1A 0AA London, London
£75000 Annually
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client, a pioneering technology firm at the forefront of artificial intelligence, is seeking a highly skilled and innovative Senior AI Research Scientist to join their dynamic team in London, England, UK . This role focuses on the development and application of advanced generative AI models. You will be instrumental in pushing the boundaries of what's possible with AI, contributing to cutting-edge research and development projects that aim to solve complex real-world problems.
Responsibilities:
Responsibilities:
- Conducting state-of-the-art research in generative AI, including areas like Large Language Models (LLMs), diffusion models, and GANs.
- Designing, implementing, and evaluating novel AI algorithms and architectures.
- Collaborating with a team of world-class researchers and engineers to translate research breakthroughs into practical applications.
- Publishing research findings in top-tier AI conferences and journals.
- Mentoring junior researchers and contributing to the technical strategy of the AI division.
- Staying abreast of the latest advancements in the field of AI and machine learning.
- Developing robust and scalable AI systems for deployment.
- Ensuring ethical considerations and responsible AI practices are integrated into all research and development activities.
- Contributing to grant proposals and securing research funding where applicable.
- Presenting research findings to internal stakeholders and external partners.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of significant research contributions in generative AI, evidenced by publications and open-source contributions.
- Expertise in Python and popular deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Strong understanding of machine learning principles, statistical modeling, and data structures.
- Experience with large-scale data processing and distributed computing.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment.
- Experience in leading research projects is highly desirable.
- Familiarity with cloud platforms (AWS, GCP, Azure) for AI workloads is a plus.
- A passion for innovation and a drive to make a tangible impact through AI.
This advertiser has chosen not to accept applicants from your region.
7
Senior AI Research Scientist (Generative Models)
SW1A 0AA London, London
£90000 Annually
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client, a globally recognized leader in artificial intelligence and cutting-edge technology research, is seeking an exceptional Senior AI Research Scientist to join their pioneering team. This fully remote position offers the unique opportunity to work at the forefront of AI innovation, focusing specifically on the development and application of advanced generative models. You will be instrumental in conceptualizing, designing, and implementing novel AI architectures and algorithms that push the boundaries of what's possible in areas such as natural language processing, computer vision, and reinforcement learning. This role demands a deep theoretical understanding, strong practical implementation skills, and a passion for scientific discovery and impactful research.
Key Responsibilities:
Key Responsibilities:
- Conduct groundbreaking research in generative AI, including but not limited to GANs, VAEs, diffusion models, and transformer-based architectures.
- Develop and implement novel algorithms and models to address complex research challenges in areas like content generation, data augmentation, and synthetic data creation.
- Design and execute rigorous experiments to evaluate the performance and effectiveness of developed models.
- Analyze research findings, interpret results, and prepare high-quality scientific publications for top-tier conferences and journals.
- Collaborate with a diverse team of researchers and engineers to translate research breakthroughs into practical applications and prototypes.
- Stay abreast of the latest advancements and trends in AI, machine learning, and related fields.
- Contribute to the strategic direction of the AI research roadmap, identifying promising new research avenues.
- Mentor junior researchers and interns, fostering a collaborative and intellectually stimulating research environment.
- Develop and maintain high-quality, well-documented code for research experiments and model implementations.
- Present research findings to both technical and non-technical audiences.
- Contribute to the patenting of novel AI technologies.
- PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Minimum of 5 years of post-doctoral or industry research experience focused on AI and deep learning, with a strong emphasis on generative models.
- Demonstrated track record of impactful research, evidenced by publications in top AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) and/or patents.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in programming languages commonly used in AI research, particularly Python.
- Strong theoretical foundation in machine learning, statistical modeling, and optimization techniques.
- Experience with large-scale datasets and distributed training methodologies.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and collaboration skills, with the ability to articulate complex technical concepts clearly.
- Ability to work independently and lead research initiatives in a remote setting.
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8
Lead AI/ML Engineer - Generative Models
WC2N 5DU London, London
£85000 Annually
WhatJobs
Posted 6 days ago
Job Viewed
Job Description
Our client is looking for a highly skilled and experienced Lead AI/ML Engineer specializing in Generative Models to join their innovative team in London, England, UK . This role will be pivotal in designing, developing, and deploying cutting-edge AI solutions that leverage generative artificial intelligence techniques. You will lead a team of talented engineers and researchers, driving the entire lifecycle of AI model development, from conceptualization and experimentation to production deployment and ongoing optimization. The ideal candidate possesses a strong theoretical understanding of machine learning and deep learning, coupled with extensive practical experience in building and scaling complex AI systems.
Key Responsibilities:
Key Responsibilities:
- Lead the design, development, and implementation of advanced generative AI models (e.g., GANs, VAEs, Diffusion Models, LLMs) for various applications.
- Architect robust and scalable ML pipelines for data preprocessing, model training, evaluation, and deployment.
- Collaborate closely with product managers, data scientists, and other engineering teams to define project requirements and deliverables.
- Mentor and guide junior engineers and researchers, fostering a culture of innovation and technical excellence.
- Stay at the forefront of AI/ML research, identifying and experimenting with new techniques and technologies.
- Optimize model performance, efficiency, and latency for production environments.
- Develop and maintain comprehensive documentation for models, systems, and processes.
- Implement best practices for MLOps, including model monitoring, versioning, and retraining strategies.
- Contribute to the company's AI strategy and roadmap.
- Ensure the ethical and responsible development and deployment of AI systems.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of hands-on experience in AI/ML engineering, with a strong focus on generative models.
- Proven experience in leading engineering teams and managing complex ML projects.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in Python and common ML libraries (e.g., Scikit-learn, Pandas, NumPy).
- Strong understanding of cloud platforms (AWS, Azure, GCP) and associated ML services.
- Experience with MLOps tools and practices.
- Excellent problem-solving, analytical, and communication skills.
- Ability to work effectively in a fast-paced, collaborative environment.
- Demonstrated experience in deploying and scaling ML models in production.
- Knowledge of ethical AI principles and practices.
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