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5.0 - 9.0 years

0 Lacs

karnataka

On-site

As an AI/ML Engineer at Neutrinos, you will play a crucial role in designing, developing, and deploying machine learning models to drive business outcomes. With 5 to 8 years of hands-on experience, you will utilize your expertise in Python, AutoML frameworks, image processing, and cloud-based AI services to create innovative solutions. Collaborating with cross-functional teams, you will focus on model development, integration, and optimization to deliver high-quality results aligned with business objectives. Your responsibilities will include designing, training, and deploying complex machine learning models for predictive analytics, object detection, and classification. Leveraging AI frameworks like Python, TensorFlow, and PyTorch, you will build and optimize machine learning pipelines. You will also work on implementing and customizing AutoML frameworks to automate model building and enhance efficiency. Utilizing cloud-based AI platforms such as Google Vision, Azure Document Vision, and AWS Textract, you will handle tasks like image recognition and document processing. In addition, you will develop and integrate AI models with REST APIs using NodeJS and Python to ensure efficient communication between systems and scalable deployment. Your role will involve implementing advanced object detection algorithms for various image-based applications and continuously optimizing model performance for accuracy, latency, and scalability in production environments. Utilizing Git for version control and CI/CD practices, you will ensure seamless updates and rollouts of AI solutions. Preferred skills for this role include familiarity with cloud infrastructure such as AWS, Azure, or Google Cloud, experience with Docker and Kubernetes for containerized AI solutions, and knowledge of Machine Learning Operations (MLOps) for automating ML lifecycle processes. A Bachelors or Masters degree in Computer Science, Machine Learning, AI, or a related field, along with 5 to 8 years of experience in AI/ML engineering, will be essential qualifications for this position. Join Neutrinos to be part of a dynamic team at the forefront of AI and machine learning innovation. You will have the opportunity to work on challenging projects with real-world impact, competitive salary and benefits, and experience a collaborative and growth-focused environment in Bangalore.,

Posted 6 days ago

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3 - 7 years

2 - 5 Lacs

Noida

Work from Office

Location - Noida Sector 16 Job Description Looking for engineers with knowledge of Artificial Intelligence, Machine Learning, and Deep Learning algorithms. Knowledge of programming language Python. Knowledge of Machine Learning/Deep Learning libraries like TensorFlow, Keras, NumPy, Pandas, scikit-learn, SciPy, etc. Basic understanding of computer vision concepts and libraries. Strong knowledge of data structures and algorithms. Strong mathematical skills. Excellent analytical and problem-solving skills. Experience with Generative AI (GenAI) and the latest developments in AI to support GIS functionality. Proficiency in Python scripting. Experience with YOLO-based live detection on video and images. Knowledge of the latest segmentation techniques to find coarse features in images and create multiple segments. Proven experience with GenAI and Large Language Models (LLMs), including speech-to-text models and multi-modal input models. Requirements Good programming skills in Python. Knowledge of TensorFlow, Theano, OpenCV, Keras, NumPy, etc. Experience with Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). Knowledge of developing and training deep neural networks. Knowledge of writing machine learning algorithms: supervised, unsupervised classification, and regression. Good communication and analytical skills. Proven experience with GenAI and LLMs. Experience with YOLO-based live detection on video and images. Knowledge of the latest segmentation techniques for image processing. Experience with speech-to-text models and multi-modal input models.

Posted 2 months ago

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