14 Computer jobs in Neyyattinkara
Lead AI Engineer - Computer Vision
Posted 17 days ago
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Job Description
Responsibilities:
- Lead the design, development, and implementation of advanced computer vision algorithms and models.
- Mentor and guide a team of AI engineers and researchers, fostering a collaborative and innovative environment.
- Oversee the end-to-end machine learning lifecycle, including data collection, preprocessing, model training, evaluation, and deployment.
- Conduct cutting-edge research in areas such as object detection, image segmentation, facial recognition, and video analysis.
- Stay abreast of the latest research and advancements in computer vision and deep learning.
- Collaborate with product managers and other stakeholders to define project requirements and deliverables.
- Ensure the scalability, robustness, and efficiency of AI models in production environments.
- Contribute to the development of robust MLOps practices for computer vision applications.
- Publish research findings in top-tier conferences and journals, and present technical work internally.
- Identify and evaluate new technologies and tools to enhance our computer vision capabilities.
- Troubleshoot and resolve complex technical challenges in AI model development and deployment.
- Drive innovation and identify new opportunities for applying computer vision technology.
- Ensure ethical considerations and bias mitigation are addressed in model development.
- Review code and technical designs from team members.
- Champion best practices in software engineering and AI development.
- Ph.D. or Master's degree in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field.
- 7+ years of experience in AI/Machine Learning, with a significant focus on Computer Vision.
- Proven experience leading technical teams and managing AI projects.
- Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in programming languages like Python.
- Strong understanding of image processing, pattern recognition, and machine learning algorithms.
- Experience with relevant libraries and tools (e.g., OpenCV, CUDA, scikit-learn).
- Demonstrated experience with deploying computer vision models in real-world applications.
- Excellent problem-solving, analytical, and critical thinking skills.
- Exceptional communication and collaboration abilities, particularly in a remote setting.
- Strong publication record in reputable AI/CV conferences (e.g., CVPR, ICCV, ECCV) is a significant plus.
Lecturer - Computer Science
Posted 7 days ago
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Senior AI/ML Engineer, Computer Vision
Posted 14 days ago
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Job Description
Responsibilities:
- Design, implement, and optimize deep learning models for computer vision tasks such as object detection, image segmentation, facial recognition, and pose estimation.
- Develop and deploy robust, scalable machine learning pipelines for data preprocessing, model training, evaluation, and inference.
- Collaborate with product managers, software engineers, and researchers to define project requirements and translate them into technical solutions.
- Conduct research into state-of-the-art computer vision techniques and algorithms.
- Implement and fine-tune pre-trained models, as well as develop novel architectures.
- Work with large-scale datasets, including data augmentation, labeling, and curation.
- Optimize model performance for efficiency and accuracy on various hardware platforms.
- Stay updated with the latest advancements in AI, ML, and computer vision research papers and conferences.
- Contribute to the development of AI/ML best practices and internal tools.
- Mentor junior engineers and share knowledge within the team.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- 5+ years of experience in AI/ML engineering, with a strong focus on computer vision.
- Proven track record of developing and deploying production-level computer vision models.
- Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong understanding of classical computer vision techniques and libraries (e.g., OpenCV).
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices.
- Familiarity with distributed training and parallel processing.
- Excellent problem-solving, analytical, and algorithmic thinking skills.
- Strong communication and collaboration skills, particularly in a remote team setting.
- Publications in top-tier AI/ML conferences (e.g., CVPR, ICCV, ECCV, NeurIPS) are a significant plus.
Senior Lecturer - Computer Science
Posted 19 days ago
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Job Description
Responsibilities:
- Deliver engaging lectures and conduct practical sessions in undergraduate and postgraduate computer science courses.
- Develop and update course curricula, lecture materials, and assessment methods.
- Supervise student research projects, theses, and dissertations.
- Conduct independent research and publish findings in leading academic journals and conferences.
- Actively seek external research funding and grants.
- Mentor and advise students on academic and career development.
- Contribute to departmental administration and academic governance.
- Foster a positive and inclusive learning environment.
- Collaborate with faculty on interdisciplinary research initiatives.
Qualifications:
- PhD in Computer Science or a related discipline.
- Minimum of 5-7 years of university-level teaching experience.
- Demonstrated record of academic research and publications.
- Expertise in one or more core areas of Computer Science (e.g., AI, Data Science, Software Engineering, Algorithms).
- Excellent teaching, communication, and presentation skills.
- Ability to develop innovative pedagogical approaches.
- Strong research capabilities and potential for securing grants.
- Commitment to student mentorship and academic excellence.
- Experience with online learning platforms is a plus.
University Lecturer - Computer Science
Posted 20 days ago
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Job Description
Key Responsibilities:
- Deliver engaging lectures and tutorials in undergraduate and postgraduate Computer Science courses.
- Develop and update course syllabi, lecture notes, assignments, and examination materials.
- Assess student work through grading assignments, exams, and projects.
- Provide academic advising and mentorship to students.
- Conduct and publish research in a relevant area of Computer Science.
- Supervise student research projects and theses.
- Contribute to departmental service, including committee work and curriculum development.
- Stay current with advancements in Computer Science and innovative teaching methodologies.
- Collaborate with colleagues on research projects and academic initiatives.
- Participate in faculty meetings and departmental events.
Adjunct Professor - Computer Science
Posted 22 days ago
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Job Description
Responsibilities:
- Deliver engaging and effective instruction in undergraduate or graduate Computer Science courses, which may include programming, data structures, algorithms, operating systems, database management, software engineering, and artificial intelligence.
- Develop and implement course syllabi, assignments, and examinations that align with institutional learning outcomes.
- Conduct lectures, facilitate discussions, and lead laboratory sessions (in-person or virtually).
- Assess student learning through homework, projects, exams, and other evaluation methods.
- Provide timely and constructive feedback to students on their academic performance.
- Maintain regular office hours (in-person or virtual) to support student inquiries and provide academic guidance.
- Contribute to curriculum development and program enhancement initiatives.
- Stay current with advancements in the field of Computer Science and pedagogical best practices.
- Collaborate with full-time faculty and staff to ensure a high-quality educational experience.
- Adhere to institutional policies and procedures.
- Potentially mentor student projects or research.
- Master's degree or Ph.D. in Computer Science, Software Engineering, or a closely related field from an accredited institution.
- Demonstrated expertise in one or more core areas of Computer Science.
- Previous teaching experience at the university or college level is highly desirable.
- Relevant industry experience in software development, systems engineering, or related roles is a significant advantage.
- Excellent communication, presentation, and interpersonal skills.
- Ability to effectively teach diverse student populations.
- Proficiency with learning management systems (e.g., Moodle, Blackboard, Canvas) and online collaboration tools.
- Commitment to academic excellence and student success.
- Availability for teaching assignments, potentially including both day and evening classes, and potentially hybrid delivery.
AI Research Scientist - Computer Vision
Posted 1 day ago
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AI Research Scientist - Computer Vision
Posted 4 days ago
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As an AI Research Scientist, you will be instrumental in designing, developing, and implementing novel algorithms and models for computer vision tasks. This includes object detection, image segmentation, facial recognition, and video analysis. You will conduct rigorous experimentation, analyze results, and contribute to the scientific community through publications and presentations. Collaboration with a diverse team of researchers and engineers globally will be a key aspect of this role, leveraging your expertise to solve complex challenges.
Responsibilities include staying abreast of the latest research in AI and computer vision, identifying opportunities for innovation, and translating theoretical concepts into practical applications. You will work with large-scale datasets, utilize advanced machine learning frameworks (e.g., TensorFlow, PyTorch), and contribute to the development of scalable AI solutions. A Ph.D. or a Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field is required, with a strong emphasis on computer vision research. Proven experience in developing and deploying computer vision models is essential.
We are looking for individuals with exceptional analytical and problem-solving skills, a creative mindset, and a deep understanding of mathematical principles underlying AI. Excellent communication and collaboration skills are vital for a remote-first environment. This is a unique opportunity to contribute to transformative AI technologies from the comfort of your home, collaborating with a world-class team. If you are driven by innovation and eager to shape the future of AI, apply now.
Lead Online Educator - Computer Science
Posted 4 days ago
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Job Description
Key Responsibilities:
- Develop and update comprehensive course content for Computer Science subjects (e.g., Programming, Data Structures, Algorithms, AI/ML).
- Design engaging learning activities, assignments, and assessments.
- Deliver online lectures and facilitate live virtual sessions.
- Provide timely and constructive feedback to students on their academic work.
- Monitor student progress and provide academic support to ensure learning objectives are met.
- Engage actively in online discussion forums and foster a collaborative learning community.
- Collaborate with instructional designers and subject matter experts to enhance course quality.
- Stay current with advancements in Computer Science and online pedagogy.
- Contribute to curriculum development and program review processes.
- Evaluate student performance and maintain accurate academic records.
Qualifications:
- Master's degree or Ph.D. in Computer Science, Software Engineering, or a closely related field.
- Minimum of 5 years of experience in teaching Computer Science at the university or equivalent level.
- Demonstrated experience in developing and delivering online courses.
- Proficiency in multiple programming languages and CS concepts.
- Strong understanding of online learning platforms and pedagogical approaches.
- Excellent communication, presentation, and interpersonal skills.
- Ability to work independently and manage time effectively in a remote setting.
- Passion for education and commitment to student success.
AI Research Scientist (Computer Vision)
Posted 20 days ago
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Job Description
Key Responsibilities:
- Conduct research and develop state-of-the-art computer vision algorithms and models.
- Implement and evaluate deep learning models for image and video understanding.
- Explore new research avenues in areas such as object recognition, segmentation, tracking, and generative models.
- Collaborate with other researchers and engineers to design and execute experiments.
- Publish research findings in leading academic conferences and journals.
- Contribute to the development of intellectual property through patents.
- Optimize algorithms for performance and scalability on various hardware platforms.
- Stay abreast of the latest advancements in AI and computer vision.
- PhD or Master's degree in Computer Science, Artificial Intelligence, or a related field with a specialization in Computer Vision.
- Proven track record of research and publications in top-tier AI/CV conferences (e.g., CVPR, ICCV, ECCV).
- Strong theoretical understanding and practical experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proficiency in Python and C++, and experience with relevant libraries (e.g., OpenCV, scikit-learn).
- Experience with large-scale datasets and distributed training.
- Excellent analytical, problem-solving, and critical thinking skills.
- Ability to work independently and collaboratively in a remote research environment.