6 Vision Analytics Jobs

Desired Competencies (Technical/Behavioral Competency) 1. Experience in AI/ML development 2. Excellent knowledge of data mining, tools and libraries (pandas, numpy, ) and a good understanding of data structures 3. Ability to perform predictive and statistical analysis from different data sources. 4. Exposure to model deployment on constrained EDGE devices like RPI, Jetson Nano, Renesas etc 5. Experience working with Image Processing, Computer Vision, NLP, Pattern Recognition, Machine Learning and Linear algebra. 6. Exposure to model development + deployment of Neural Networks, Support vector Machines, Deep Learning, etc.. 7. Experience working on Different classes of Images with segmentation...

Advanced expertise in Python programming. Experience in developing and deploying ML models using cloud services such as AWS or Azure . Ability to interpret business challenges and convert them into ML-based problem statements, followed by designing and executing complete end-to-end solutions. Extensive hands-on experience in leveraging data mining and ML methodologies to address complex, real-world business scenarios. Proficient in working with diverse data types structured, unstructured, audio, and both static and streaming datasets. Advanced proficiency in Natural Language Processing (NLP) and/or Natural Language Understanding (NLU) techniques is essential. Strong command of Generative AI ...

Key Responsibilities Design, develop, and deploy AI/ML models for image analysis, vision intelligence, and multimodal use cases. Build and optimize Computer Vision models including object detection, segmentation, tracking, and image classification. Develop and fine-tune NLP and speech models , as well as multimodal transformer architectures. Implement real-time or near-real-time video processing pipelines . Optimize models for GPU performance , including memory efficiency, parallelization, and distributed training. Work with frameworks such as DeepSpeed, Horovod, PyTorch Distributed for large-scale model training. Collaborate with cross-functional teams to integrate AI solutions into product...

Role Overview: As an HW engineer at Kinara, you will be responsible for board design, verification of hardware products, and collaborating closely with other functional teams during development. Your role will also involve working with vendors and agencies throughout the product development process. Additionally, you will be involved in developing software applications to showcase Deep Learning use cases, particularly in vision analytics workloads. Your responsibilities will include creating application notes, documenting software tool flows, and conducting performance and power measurement and analysis of Embedded AI systems. Key Responsibilities: - Designing and verifying new digital circu...

As a Lead/Solutions Architect, your role will involve being well-versed in the latest data stack and cloud technologies, particularly AWS. You must have experience with Python, Pandas, Keras, PyTorch, and TensorFlow. Additionally, you should be proficient in building entire AI applications end-to-end and have expertise in NLP/Text/Docs, Audio analytics, or Video/Vision analytics. Key Responsibilities: - Utilize AI, Python, Grafana, and Prometheus to architect solutions - Manage Linux systems and perform SysAdmin tasks - Implement OpenTelemetry for monitoring and observability - Explore Grafana Tempo and Faro for enhanced solutions Qualifications Required: - Proficiency in Python/Pandas/Keras...

Role Overview As a Senior Full-Stack AI/ML Engineer, you will play a key role in developing and deploying intelligent systems that enhance operational efficiency, quality assurance, and customer experience. You will work on a range of use cases from vision-based quality inspection and predictive maintenance to LLM-driven document understanding and automation . This role requires strong technical depth, independent ownership, and the ability to collaborate with cross-functional teams across engineering, IT, and business domains. Key Responsibilities Lead the design, development, and deployment of AI/ML models across vision, language, and prediction use cases Develop and implement solutions us...