Artificial Intelligence Engineer

Hi, We have an open position for AI/ML Engineer, looking for PHD candidates only. Experience Requierd - 3-10yrs Roles and Responsibilities Kindly Note - Only PHD Candidates AI (Artificial Intelligence) Model development Model customization & fine tuning as per project requirement Design , Implement, Fine tune & maintain AI models, including machine learning and deep learning algorithms. Conduct research to advance the state of the art in NLP (Natural Language Processing), computer vision and other AI domains. Train group of junior team members on AI practices (development, deployment & maintenance) based on project requirements. Data capturing, monitoring and summarizing for Management level reporting, maintaining systems for data analysis and reporting. Data Management for AI models evaluation Collect, pre process and analyze large datasets to train and evaluate AI models. Implement data augmentation and pipeline processes to enhance quality of training/test data. Work along with other teams to collect data at org level and deploy scalable AI solutions Cross Functional collaboration and communication Work closely with team leaders to align AI initiatives with business objectives and key performance indicators (KPIs) Partner with team managers, engineers and domain experts to translate business requirements into technical specifications Utilize advanced statistical methods and machine learning techniques to extract actionable insights from complex datasets for management review. Ensure AI models are seamlessly integrated into the overall technology stack, optimizing for performance, reliability and scalability after discussion with all stake holders (Including HQ) Skills and Experience Required Proficiency in design, development and optimizing complex machine learning models, including supervised, unsupervised, and reinforcement learning. Expertise in deep learning architectures such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), transformers, and Generative Adversarial Networks Expertise in optimization techniques, such as gradient descent, evolutionary algorithms, and Bayesian optimization Advanced proficiency in programming languages such as Python, Java, C++, and R Experience with specialized libraries for natural language processing (e.g., Hugging Face Transformers, SpaCy) and computer vision (e.g., OpenCV , Detectron2 Skills in designing and managing complex data pipelines and ETL processes