Company Description Akeso Eyecare is a cutting-edge CDMO and consulting organization specializing in optometry and ophthalmology. With a focus on advanced technology and design, we offer solutions such as AR desktop displays for myopia prevention, eye tracking, gaze estimation, and extended reality head-mounted displays for low vision. Our skilled R&D team covers optical design, materials science, and AI, providing services from conceptualization to full-scale production. Role Description This is a full-time remote role for a Copywriter & Social Media Manager at Akeso Eyecare. The position entails creating compelling copy for press releases, effective communication strategies, writing engaging content, implementing marketing initiatives, and ensuring accurate proofreading. Qualifications Press Releases and Communication skills Writing and Marketing skills Proofreading abilities Experience in social media management Understanding of eye care industry trends Bachelor's degree in Marketing, Communications, or related field Show more Show less
Company Description Akeso Eyecare is a cutting-edge CDMO and consulting organization specializing in optometry and ophthalmology. With a focus on advanced technology and design, we offer solutions such as AR desktop displays for myopia prevention, eye tracking, gaze estimation, and extended reality head-mounted displays for low vision. Our skilled R&D team covers optical design, materials science, and AI, providing services from conceptualization to full-scale production. Role Description This is a full-time remote role for a Copywriter with an additional role as Social Media Manager. The position entails creating compelling copy for press releases, effective communication strategies, writing engaging content, implementing marketing initiatives, and ensuring accurate proofreading. Salary Range 3 - 5 L per annum Apply here: https://forms.gle/VjT1DdSAPvMVTk288 Show more Show less
Company Description Akeso Eyecare is an innovative CDMO and consulting organization specializing in optometry and ophthalmology. We provide cutting-edge solutions such as AR desktop displays for myopia prevention, eye tracking, gaze estimation, and extended reality head-mounted displays for low vision. With a highly skilled R&D team, we offer comprehensive services from conceptualization and R&D to customized product design, shaping the future of eye health. Role Description This is a full-time hybrid role for a Graphic Designer at Akeso Eyecare. The Graphic Designer will be responsible for creating graphics, designing logos, developing branding, and working with typography. The role is primarily located in Chandigarh but allows for some work from home. Qualifications Graphics and Graphic Design skills Logo Design and Branding skills Typography skills Experience with Adobe Creative Suite Strong portfolio of graphic design work Excellent communication and collaboration skills Knowledge of UI/UX design principles is a plus Bachelor's degree in Graphic Design or related field Additional skills in motion graphics, basic video editing (after effects, premier pro) is a plus Compensation: 3 - 5 L per annum Show more Show less
Overview We are seeking a highly skilled NLP Engineer with a PhD who has extensive experience in Large Language Models (LLMs), vLLM (vision-language models), and Mixture of Experts (MoE). The ideal candidate will have a strong background in medical AI and a passion for leveraging NLP techniques to advance healthcare technology. Responsibilities Design, develop, and optimize LLM-based NLP models for medical applications. Research and implement cutting-edge vLLM and MoE architectures for scalable and efficient NLP processing. Develop fine-tuned models tailored for medical and healthcare-specific language tasks. Work closely with medical professionals and domain experts to ensure models align with real-world healthcare needs. Optimize inference pipelines to improve performance, reduce latency, and enhance efficiency for deployment. Collaborate with cross-functional teams, including AI researchers, software engineers, and product teams, to integrate NLP solutions into our products. Stay updated with the latest advancements in LLMs, vLLM, MoE, and medical AI research. Qualifications Master's or PhD in NLP, Machine Learning, AI, or a related field with a strong research background. Expertise in Large Language Models (LLMs), vision-language models (vLLM), and Mixture of Experts (MoE). Proven experience in building and fine-tuning transformer-based architectures (e.g., GPT, BERT, T5, Llama). Hands-on experience in PyTorch, TensorFlow, JAX, or similar ML frameworks. Strong programming skills in Python and experience with ML libraries such as Hugging Face, DeepSpeed, or Triton. Experience in medical AI or healthcare-related NLP applications is highly preferred. Solid understanding of data preprocessing, tokenization, and model training on large-scale datasets. Experience with distributed training, model optimization, and deployment on cloud infrastructures (AWS, GCP, or Azure). Preferred Qualifications Publications in top-tier NLP, ML, or AI conferences/journals. Experience in multimodal learning (text, image, video) and its applications in healthcare. Familiarity with regulatory compliance and ethical considerations in medical AI. Knowledge of reinforcement learning (RLHF) techniques for model fine-tuning. Show more Show less
Job Description We are seeking a highly skilled Computer Vision Research Engineer specializing in medical imaging and diagnostic vision systems to join our innovative team. The ideal candidate will have a proven track record in conducting research, developing algorithms, and implementing cutting-edge computer vision techniques for healthcare and clinical applications. Responsibilities Conduct advanced research to pioneer developments in vision-based medical analysis, including medical image interpretation, enhancement, and real-time processing. Develop and implement robust computer vision algorithms and models tailored for diagnostic imaging platforms and clinical decision support tools. Collaborate closely with interdisciplinary teams to integrate and optimize computer vision solutions into healthcare systems and medical technologies. Analyze and interpret data collected from clinical imaging modalities to improve performance and reliability in real-world scenarios. Stay updated with the latest advancements in computer vision, machine learning, and AI, specifically as they relate to medical imaging innovation. Requirements Master's or Ph.D. degree in Computer Science, Electrical Engineering, or a related field. Strong expertise and demonstrable experience (3–5 years) in computer vision applications in healthcare, such as image-guided detection and diagnostics, automated screening, or AI-assisted interpretation. Proven track record of research publications in reputable conferences or journals related to medical image analysis and intelligent vision systems. Proficiency in programming languages such as Python, C++, and experience with relevant libraries (OpenCV, TensorFlow, PyTorch, etc.). In-depth understanding of computer vision principles, machine learning algorithms, and statistical modeling. Ability to work independently and collaboratively in a fast-paced research environment, especially addressing clinical imaging and diagnostic challenges using AI. Strong problem-solving skills and a keen interest in pushing the boundaries of computer vision technology. Preferred Skills Experience working with clinical imaging devices (e.g., fundus cameras, OCT, MRI, ultrasound, or digital pathology systems). Familiarity with 3D computer vision techniques and their applications in medical image reconstruction. Prior experience in designing and conducting validation studies for healthcare vision algorithms in clinical or experimental settings. Show more Show less
Job Description: We are seeking a highly skilled and experienced C++ Engineer to join our team. The primary responsibility will be converting existing Python-based computer vision and deep learning (CVDL) code into optimized, production-ready C++ code. The ideal candidate should be proficient in working with C++ frameworks and libraries, including TensorFlow, PyTorch, ONNX, MNN, NCNN, TensorFlow Lite (TFLite), MMDeploy, etc. The resulting C++ code will be used across Windows and Ubuntu environments, with a strong emphasis on cross-platform compatibility and performance optimization. Key Responsibilities: Convert Python-based CVDL (Computer Vision and Deep Learning) pipelines into optimized C++ implementations. Implement models and algorithms using C++ frameworks such as TensorFlow, PyTorch, ONNX, MNN, NCNN, TensorFlow Lite (TFLite), MMDeploy, and other relevant libraries. Optimize code for performance, ensuring efficient use of resources, especially in real-time processing pipelines. Ensure cross-platform compatibility, building C++ code that works seamlessly on both Windows and Ubuntu using CMakeLists. Debug, profile, and optimize deep learning inference pipelines, addressing issues related to memory usage, speed, and accuracy. Collaborate with AI teams to understand the Python codebase, gather requirements, and ensure the successful porting of features. Maintain up-to-date knowledge of the latest developments in C++ frameworks, deep learning inference engines, and performance optimization techniques. Requirements: Experience: - 5+ years of experience in C++ software development, specifically in converting Python code into C++. - 3 + years of experience with computer vision and deep learning frameworks such as TensorFlow, PyTorch, ONNX, MNN, NCNN, TensorFlow Lite (TFLite), MMDeploy , Mediapipe and Bazel build system. - Solid experience in cross-platform development for both Windows and Ubuntu using CMakeLists. Programming Skills: - Proficiency in C++ (C++11/14/17) with a deep understanding of memory management, multi-threading, and performance optimization. - Familiarity with Python, specifically in computer vision and deep learning applications, to interpret and convert code accurately. - Strong knowledge of CMake for building cross-platform applications. Technical Expertise: - Experience working with deep learning models and converting models between different formats (e.g., TensorFlow to ONNX, PyTorch to NCNN, etc.). - Experience with OpenCV and other related computer vision libraries. - Understanding of inference optimizations such as quantization, pruning, and model acceleration will be plus. Communication: - Strong problem-solving skills and the ability to work in a collaborative, fast-paced environment. - Ability to communicate effectively with cross-functional teams, including data scientists, ML engineers, and Python developers.