1,027 Remote Lead AI Solutions Architect jobs in Kenya
Remote Lead AI Solutions Architect
Posted 22 days ago
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Job Description
Our client is looking for an innovative and highly skilled Lead AI Solutions Architect to join their cutting-edge, fully remote team. In this pivotal role, you will be responsible for designing, developing, and implementing advanced artificial intelligence and machine learning solutions that drive business value. You will leverage your deep technical expertise and strategic vision to architect scalable, robust, and efficient AI systems, working closely with cross-functional teams, data scientists, and engineers. This position demands a profound understanding of AI/ML concepts, cloud platforms, and software engineering best practices. You will guide the technical direction of AI projects, mentor junior team members, and ensure the successful deployment of state-of-the-art AI applications. This is an unparalleled opportunity to shape the future of AI and contribute to groundbreaking projects from the comfort of your remote workspace.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design and architect end-to-end AI/ML solutions, from data ingestion and processing to model development, deployment, and monitoring.
- Evaluate and select appropriate AI/ML frameworks, tools, and cloud platforms (e.g., AWS, Azure, GCP) for solution implementation.
- Collaborate with data scientists to translate business requirements into technical specifications and actionable AI models.
- Lead the development and integration of AI models into existing or new software systems.
- Ensure the scalability, performance, and security of deployed AI solutions.
- Provide technical leadership and guidance to AI/ML engineers and data scientists.
- Stay abreast of the latest advancements in AI, machine learning, and related technologies.
- Develop and maintain best practices for AI/ML development, deployment, and lifecycle management.
- Communicate complex technical concepts and solutions effectively to both technical and non-technical stakeholders.
- Identify opportunities for leveraging AI/ML to solve business problems and create new value.
- Contribute to the definition of the company's AI strategy and roadmap.
- Conduct code reviews and ensure adherence to high-quality software engineering standards.
- Troubleshoot and resolve complex technical issues related to AI systems.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- A minimum of 8 years of experience in software engineering, with at least 5 years focused on designing and implementing AI/ML solutions.
- Proven experience as a Lead AI/ML Engineer or Solutions Architect, with a portfolio of successful AI projects.
- Deep expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical modeling.
- Extensive experience with cloud computing platforms (AWS, Azure, GCP) and their AI/ML services.
- Proficiency in programming languages such as Python, R, and Java.
- Strong understanding of data engineering, MLOps, and CI/CD principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication, collaboration, and leadership abilities.
- Ability to work independently and lead projects in a fast-paced, remote environment.
- Must have a reliable internet connection and a dedicated, professional workspace.
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Remote AI/ML Solutions Architect - Computer Vision
Posted 7 days ago
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Job Description
Our client is at the forefront of AI innovation and is seeking a highly skilled Remote AI/ML Solutions Architect specializing in Computer Vision. In this fully remote role, you will design, develop, and deploy cutting-edge machine learning solutions that leverage visual data. You will work closely with engineering, product, and research teams to translate business requirements into robust AI/ML architectures, focusing on areas such as image recognition, object detection, video analysis, and more. This position demands a deep understanding of AI/ML principles, strong programming skills, and the ability to architect scalable and efficient solutions.
Responsibilities:
Qualifications:
This is a career-defining opportunity to shape the future of AI and computer vision from the comfort of your home. If you are passionate about pushing the boundaries of artificial intelligence, we encourage you to apply.
Responsibilities:
- Design end-to-end AI/ML solutions, with a strong emphasis on computer vision tasks, for various applications.
- Develop and implement machine learning models, including deep learning architectures (CNNs, RNNs, Transformers), for image and video analysis.
- Optimize model performance for accuracy, efficiency, and scalability using state-of-the-art techniques.
- Architect robust and scalable ML pipelines for data preprocessing, model training, evaluation, and deployment.
- Collaborate with data scientists, software engineers, and product managers to define project scope and technical requirements.
- Stay abreast of the latest research and advancements in AI, ML, and computer vision.
- Evaluate and recommend appropriate ML frameworks, tools, and cloud platforms.
- Develop prototypes and proof-of-concepts to demonstrate the viability of proposed solutions.
- Provide technical leadership and guidance on AI/ML best practices and implementation strategies.
- Troubleshoot and resolve issues related to ML model performance and deployment.
- Contribute to the development of intellectual property and research publications.
- While the role is fully remote, knowledge of emerging tech landscapes in regions like Kitale, Trans-Nzoia, KE can provide valuable context for potential applications.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of experience in developing and deploying AI/ML solutions, with at least 4 years focused on computer vision.
- Expertise in Python and common ML libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, OpenCV.
- Proven experience in designing and implementing deep learning models for image and video analysis.
- Strong understanding of data structures, algorithms, and software architecture principles.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and collaboration skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Ability to work independently and lead technical initiatives in a remote setting.
This is a career-defining opportunity to shape the future of AI and computer vision from the comfort of your home. If you are passionate about pushing the boundaries of artificial intelligence, we encourage you to apply.
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1
Principal AI Research Scientist - Deep Learning for Computer Vision
Posted 8 days ago
Job Viewed
Job Description
Our client, a groundbreaking leader in AI and Emerging Technologies, is actively seeking a Principal AI Research Scientist to join their elite, fully remote team. This role is at the cutting edge of artificial intelligence, focusing on advanced deep learning techniques for computer vision applications. You will spearhead innovative research, develop novel algorithms, and publish impactful findings that push the boundaries of the field. The ideal candidate will have a Ph.D. in a relevant discipline, a strong publication record in top-tier AI conferences, and extensive hands-on experience with deep learning frameworks. This is an exceptional opportunity for a leading researcher to drive transformative AI advancements from anywhere.
Responsibilities:
Responsibilities:
- Conduct state-of-the-art research in deep learning for computer vision, including object detection, image segmentation, facial recognition, and generative models.
- Develop and implement novel AI algorithms and models, optimizing for performance and accuracy.
- Design and execute rigorous experiments to validate research hypotheses.
- Collaborate with cross-functional teams to integrate research prototypes into product development.
- Publish research findings in leading academic journals and present at international conferences.
- Mentor junior researchers and engineers, fostering a collaborative research environment.
- Stay abreast of the latest advancements and trends in AI, machine learning, and computer vision.
- Contribute to the intellectual property portfolio through patent applications.
- Lead research initiatives and define research roadmaps in specific areas of computer vision.
- Explore new application domains for computer vision technologies.
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
- Minimum of 7 years of post-doctoral research experience in AI, with a specialization in Deep Learning and Computer Vision.
- A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV, NeurIPS, ICML).
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in programming languages like Python and experience with scientific computing libraries.
- Deep understanding of various neural network architectures (CNNs, RNNs, Transformers) and their applications.
- Experience with large-scale datasets and distributed training.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to lead research projects and work effectively in a remote, collaborative setting.
- Strong communication and presentation skills.
This advertiser has chosen not to accept applicants from your region.
2
Lead AI/ML Engineer - Computer Vision
Posted 15 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative Lead AI/ML Engineer specializing in Computer Vision to join their cutting-edge research and development team. This is a fully remote position offering the opportunity to work on groundbreaking projects at the forefront of artificial intelligence. The ideal candidate will possess a strong foundation in machine learning, deep learning, and extensive experience in developing and deploying computer vision models.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of advanced computer vision algorithms and models for various applications.
- Conduct research into state-of-the-art computer vision techniques and propose novel solutions to complex problems.
- Develop and optimize deep learning models for tasks such as object detection, image segmentation, facial recognition, and image generation.
- Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI/ML solutions into products and services.
- Manage and mentor a team of AI/ML engineers, providing technical guidance and fostering a collaborative environment.
- Oversee the data collection, annotation, and preparation process for training computer vision models.
- Implement robust testing and validation procedures to ensure the accuracy and reliability of AI models.
- Stay abreast of the latest advancements in AI, machine learning, and computer vision research, and actively contribute to the technical roadmap.
- Deploy and scale AI/ML models in production environments, ensuring performance and efficiency.
- Write high-quality, well-documented code in languages such as Python.
- Evaluate and select appropriate frameworks and tools for AI/ML development (e.g., TensorFlow, PyTorch).
- Contribute to intellectual property and publish research findings where appropriate.
- Troubleshoot and resolve complex technical issues related to AI/ML model performance and deployment.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 7 years of experience in AI/ML engineering, with a strong specialization in Computer Vision.
- Proven track record of developing and deploying complex computer vision models in production environments.
- Deep understanding of deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in Python and relevant libraries (e.g., OpenCV, NumPy, SciPy).
- Experience with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
- Strong knowledge of algorithms, data structures, and software engineering best practices.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong leadership and team management capabilities.
- Exceptional communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- Ability to work independently and collaboratively in a fully remote setting.
- Experience with model optimization and deployment strategies is highly desirable.
This advertiser has chosen not to accept applicants from your region.
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Principal AI/ML Engineer (Computer Vision)
Posted 22 days ago
Job Viewed
Job Description
Our client, a leading innovator in applied artificial intelligence and machine learning, is seeking a highly experienced and visionary Principal AI/ML Engineer with a specialization in Computer Vision to join their cutting-edge and fully remote research and development team. This senior role is critical for advancing our capabilities in areas such as image recognition, object detection, video analysis, and augmented reality. You will be responsible for designing, developing, and deploying state-of-the-art AI models and algorithms that solve complex real-world problems.
The ideal candidate possesses a deep theoretical understanding of machine learning, deep learning, and computer vision principles, coupled with hands-on experience in implementing and optimizing models for production environments. Your expertise will span across various AI frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python), and cloud platforms (e.g., AWS, Azure, GCP). You will lead research initiatives, mentor junior engineers, collaborate with product teams, and contribute significantly to the company's intellectual property. A strong publication record or contributions to open-source AI projects is highly desirable. This is an unparalleled opportunity to shape the future of AI in a collaborative, remote setting.
Key Responsibilities:
The ideal candidate possesses a deep theoretical understanding of machine learning, deep learning, and computer vision principles, coupled with hands-on experience in implementing and optimizing models for production environments. Your expertise will span across various AI frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python), and cloud platforms (e.g., AWS, Azure, GCP). You will lead research initiatives, mentor junior engineers, collaborate with product teams, and contribute significantly to the company's intellectual property. A strong publication record or contributions to open-source AI projects is highly desirable. This is an unparalleled opportunity to shape the future of AI in a collaborative, remote setting.
Key Responsibilities:
- Lead the design, development, and implementation of advanced computer vision models and algorithms.
- Conduct cutting-edge research in areas such as object detection, segmentation, image classification, and generative models.
- Develop and deploy ML pipelines for training, evaluation, and inference in production environments.
- Optimize model performance for scalability, efficiency, and real-time applications.
- Collaborate with cross-functional teams to define project requirements and technical specifications.
- Mentor junior AI/ML engineers and contribute to the team's technical growth.
- Stay abreast of the latest advancements in AI, ML, and computer vision research and industry trends.
- Contribute to the company's intellectual property through patents and publications.
- Design and conduct experiments to validate new approaches and algorithms.
- Troubleshoot and resolve complex technical challenges in AI/ML systems.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in Computer Vision.
- Minimum of 8 years of professional experience in AI/ML engineering, with a significant focus on computer vision.
- Proven track record of developing and deploying sophisticated CV models in production.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or similar.
- Strong proficiency in Python and relevant libraries (e.g., OpenCV, Scikit-learn, NumPy).
- Experience with cloud ML platforms and services (AWS SageMaker, Azure ML, GCP AI Platform).
- Excellent analytical, problem-solving, and algorithmic design skills.
- Strong communication and collaboration skills, with the ability to explain complex technical concepts clearly.
- Ability to work independently and lead projects in a fully remote environment.
- Demonstrated experience with large-scale datasets and distributed training.
This advertiser has chosen not to accept applicants from your region.
4
Lead AI/ML Engineer (Deep Learning)
Posted 22 days ago
Job Viewed
Job Description
Our client is at the forefront of innovation and is seeking an exceptional Lead AI/ML Engineer specializing in Deep Learning to join their pioneering team. This is a fully remote position, offering the opportunity to work from anywhere within Kenya and contribute to groundbreaking advancements. The Lead AI/ML Engineer will be instrumental in designing, developing, and deploying state-of-the-art machine learning models and artificial intelligence solutions. You will lead the technical direction for deep learning projects, mentor junior engineers, and collaborate with product managers and data scientists to translate business requirements into scalable AI systems. Responsibilities include building and optimizing neural networks, developing robust data pipelines, implementing MLOps best practices, and evaluating model performance. The ideal candidate will possess a strong theoretical understanding of machine learning algorithms, extensive hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch), and a proven ability to deliver complex AI solutions in production environments. This role demands exceptional problem-solving skills, a passion for cutting-edge technology, and the ability to thrive in a fast-paced, remote-first setting.
Responsibilities:
Responsibilities:
- Lead the design, development, and deployment of deep learning models.
- Architect scalable and efficient AI/ML systems and pipelines.
- Implement and optimize neural networks for various applications.
- Collaborate with cross-functional teams to define project requirements and goals.
- Mentor and guide junior AI/ML engineers and data scientists.
- Develop and maintain robust MLOps practices for model deployment and monitoring.
- Evaluate model performance and iterate to achieve optimal results.
- Stay abreast of the latest research and advancements in AI and deep learning.
- Contribute to the company's AI strategy and technical roadmap.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 6 years of professional experience in AI/ML engineering, with a focus on deep learning.
- Extensive experience with Python and ML libraries such as TensorFlow, PyTorch, and Keras.
- Proven track record of successfully deploying complex ML models into production.
- Strong understanding of algorithms, data structures, and software engineering principles.
- Experience with cloud platforms (AWS, Azure, GCP) and distributed computing.
- Excellent problem-solving, analytical, and communication skills.
- Demonstrated leadership experience in managing technical projects.
- Ability to work effectively in a fully remote team environment.
This advertiser has chosen not to accept applicants from your region.
5
Senior AI Research Scientist - Deep Learning & Computer Vision
Posted 8 days ago
Job Viewed
Job Description
Our client is seeking a highly motivated and experienced Senior AI Research Scientist specializing in Deep Learning and Computer Vision to join their pioneering team. This is a fully remote, impactful role where you will be at the forefront of developing next-generation AI solutions. You will be responsible for conceptualizing, designing, and implementing cutting-edge machine learning models and algorithms, with a particular focus on image recognition, object detection, and video analysis. Your work will directly contribute to innovative projects that push the boundaries of artificial intelligence. This position requires a deep understanding of mathematical principles, statistical modeling, and advanced programming techniques. You will collaborate closely with cross-functional teams, including software engineers and product managers, to translate research findings into practical applications.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Lead research initiatives in deep learning, computer vision, and related AI fields.
- Develop and implement novel algorithms for image and video understanding, including segmentation, classification, and tracking.
- Design and train complex neural network architectures (CNNs, RNNs, Transformers, etc.) using frameworks like TensorFlow, PyTorch, or JAX.
- Evaluate and optimize model performance, ensuring robustness and scalability for real-world deployment.
- Stay abreast of the latest advancements in AI research and identify opportunities for innovation.
- Collaborate with engineering teams to integrate AI models into production systems.
- Publish research findings in top-tier conferences and journals.
- Mentor junior researchers and contribute to a collaborative research environment.
- Work remotely, leveraging communication and collaboration tools to maintain high levels of productivity and team synergy. The opportunity to work from your preferred location within Bungoma, Bungoma, KE is provided with this role.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of hands-on experience in AI research and development, with a strong publication record in computer vision and deep learning.
- Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Keras).
- Solid understanding of linear algebra, calculus, probability, and statistics.
- Experience with cloud platforms (AWS, GCP, Azure) and distributed training is a plus.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences.
- Demonstrated ability to work independently and as part of a remote team.
This advertiser has chosen not to accept applicants from your region.
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6
Senior AI/ML Engineer (Computer Vision)
Posted 22 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative Senior AI/ML Engineer specializing in Computer Vision to join their cutting-edge, fully remote team. This role is perfect for a forward-thinking individual eager to push the boundaries of artificial intelligence and machine learning. You will be responsible for designing, developing, and deploying advanced computer vision models and systems that solve complex real-world problems. This includes working with large datasets, experimenting with state-of-the-art algorithms, and contributing to the full ML lifecycle. The ideal candidate will have a strong theoretical foundation and practical experience in deep learning, image processing, and related fields. This is a remote-first position, offering significant flexibility and the opportunity to collaborate with a globally distributed team.
Responsibilities:
Qualifications:
Responsibilities:
- Design, develop, and implement state-of-the-art machine learning and deep learning models for computer vision tasks (e.g., object detection, image segmentation, facial recognition).
- Process, clean, and analyze large-scale image and video datasets.
- Experiment with and evaluate various ML algorithms and architectures.
- Collaborate with software engineers to integrate ML models into production systems.
- Optimize model performance for efficiency, accuracy, and scalability.
- Stay abreast of the latest research and advancements in AI, ML, and computer vision.
- Contribute to the entire ML lifecycle, from data preparation to model deployment and monitoring.
- Develop and maintain robust data pipelines and MLOps practices.
- Write high-quality, maintainable code in Python and relevant ML frameworks.
- Participate in code reviews and provide constructive feedback.
- Present research findings and technical solutions to both technical and non-technical audiences.
- Mentor junior engineers and contribute to the team's technical growth.
- Identify opportunities for applying AI/ML to solve business challenges.
- Ensure ethical considerations and fairness are integrated into AI development.
- Document research, experiments, and model performance.
Qualifications:
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 5-7 years of hands-on experience in AI/ML engineering, with a strong focus on computer vision.
- Proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, Keras, OpenCV.
- Deep understanding of deep learning architectures (CNNs, RNNs, Transformers) and their applications in vision.
- Experience with data augmentation, transfer learning, and model optimization techniques.
- Familiarity with cloud platforms (AWS, GCP, Azure) and associated ML services.
- Strong programming skills and experience with software development best practices.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills for effective remote work.
- Proven ability to work independently and manage complex projects.
- Experience with MLOps tools and practices is highly desirable.
- Publication record in relevant AI/ML conferences or journals is a plus.
This advertiser has chosen not to accept applicants from your region.
7
AI/ML Research Scientist (Computer Vision)
Posted 21 days ago
Job Viewed
Job Description
Our client is seeking a brilliant and innovative AI/ML Research Scientist specializing in Computer Vision to join their cutting-edge research team. This is a fully remote position, offering a unique opportunity to contribute to groundbreaking advancements from the comfort of your home office. You will be at the forefront of developing novel algorithms and models for image recognition, object detection, and scene understanding. Your work will involve exploring state-of-the-art deep learning techniques, conducting rigorous experiments, and publishing research findings in leading AI conferences and journals. This role is ideal for a passionate researcher with a strong theoretical background and practical implementation skills.
Key responsibilities include:
We require candidates with a Ph.D. or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field with a specialization in Computer Vision. A minimum of 4 years of post-graduate research experience or equivalent industry experience in computer vision is essential. Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages like Python is mandatory. A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV) or journals is highly desirable. Excellent analytical, problem-solving, and critical thinking skills are required. The ability to work independently, manage research projects effectively, and communicate complex technical concepts clearly in a remote setting is crucial for this role, which will contribute to advancements for our operations impacting **Kakamega, Kakamega, KE**. Experience with large-scale data processing and distributed computing environments is a plus.
Key responsibilities include:
- Designing, developing, and implementing advanced computer vision algorithms and models using deep learning.
- Conducting research into areas such as image segmentation, object tracking, facial recognition, and 3D reconstruction.
- Prototyping new AI solutions and validating their performance through extensive experimentation.
- Analyzing large-scale datasets, preparing them for model training, and ensuring data quality.
- Collaborating with software engineers to integrate research prototypes into production systems.
- Staying abreast of the latest academic research and industry trends in AI and computer vision.
- Writing high-quality research papers for publication and presentation.
- Contributing to the intellectual property portfolio through patents and publications.
- Mentoring junior researchers and contributing to the team's technical growth.
- Participating in code reviews and ensuring robust, well-documented research code.
We require candidates with a Ph.D. or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field with a specialization in Computer Vision. A minimum of 4 years of post-graduate research experience or equivalent industry experience in computer vision is essential. Proven expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and programming languages like Python is mandatory. A strong publication record in top-tier AI conferences (e.g., CVPR, ICCV, ECCV) or journals is highly desirable. Excellent analytical, problem-solving, and critical thinking skills are required. The ability to work independently, manage research projects effectively, and communicate complex technical concepts clearly in a remote setting is crucial for this role, which will contribute to advancements for our operations impacting **Kakamega, Kakamega, KE**. Experience with large-scale data processing and distributed computing environments is a plus.
This advertiser has chosen not to accept applicants from your region.
8
Remote AI/ML Engineer - Computer Vision
Posted 22 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative Remote AI/ML Engineer with a specialization in Computer Vision to drive the development of cutting-edge artificial intelligence solutions. This role is pivotal in advancing our capabilities in image and video analysis, object detection, facial recognition, and other vision-based AI applications. You will be responsible for designing, building, training, and deploying machine learning models that solve complex real-world problems. The ideal candidate possesses a strong theoretical understanding of deep learning frameworks, computer vision algorithms, and data science principles, combined with hands-on experience in model development and optimization. You will work closely with a team of data scientists, software engineers, and product managers to translate business requirements into functional AI systems, all within a fully remote setting. Responsibilities include data preprocessing, feature engineering, model selection and evaluation, performance tuning, and deployment. Excellent programming skills in Python and proficiency with libraries like TensorFlow, PyTorch, and OpenCV are essential. Strong analytical and problem-solving abilities are required to tackle challenging AI tasks and iterate on solutions effectively. This position demands a proactive, research-oriented mindset, a commitment to staying at the forefront of AI advancements, and the capacity to manage complex projects independently. Contributing to the development of groundbreaking AI technologies that provide significant business value is the core mission. This is an exceptional opportunity for an AI/ML expert to apply their vision expertise remotely and shape the future of intelligent systems.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement machine learning models for computer vision tasks (e.g., image classification, object detection, segmentation).
- Process and analyze large datasets of images and videos.
- Experiment with various deep learning architectures and algorithms.
- Train, evaluate, and fine-tune machine learning models for optimal performance.
- Deploy ML models into production environments.
- Collaborate with software engineers to integrate AI models into applications.
- Conduct research on state-of-the-art computer vision techniques.
- Optimize model performance for speed and efficiency.
- Write clean, well-documented, and maintainable code.
- Stay updated on the latest advancements in AI, ML, and computer vision.
- Contribute to technical documentation and knowledge sharing.
- Troubleshoot and resolve issues related to ML model performance.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 3 years of experience in AI/ML engineering, with a focus on computer vision.
- Proficiency in Python and relevant ML/DL libraries (e.g., TensorFlow, PyTorch, Keras, Scikit-learn).
- Strong experience with computer vision libraries (e.g., OpenCV).
- Solid understanding of deep learning principles and various model architectures (CNNs, RNNs, Transformers).
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps practices.
- Strong analytical, problem-solving, and algorithmic thinking skills.
- Excellent communication and collaboration abilities for remote work.
- Published research in relevant conferences or journals is a plus.
This advertiser has chosen not to accept applicants from your region.
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