Research and Development: Conduct extensive research to identify emerging AI technologies, techniques, and methodologies relevant to the organization's business objectives. Stay up to date with industry trends and advancements in AI.
AI Solution Design: Collaborate with stakeholders to understand business requirements and translate them into AI solutions. Develop strategies and roadmaps for implementing AI solutions that align with business goals. Design, implement, and deploy AI-powered capabilities utilizing exploratory data analysis, model training, fine-tuning, and evaluation.
Data Analysis: Analyze large and complex data sets to identify patterns, trends, and insights. Apply statistical analysis and machine learning algorithms to extract meaningful information and drive data-driven decision-making.
Model Development: Build and optimize machine learning models, including supervised and unsupervised learning algorithms, natural language processing (NLP) models,
computer vision models, and deep learning architectures. Leverage state-of-the-art AI technologies like Transformer Neural Networks, Embeddings, Vector Stores, RESTful APIs and Graph APIs and LLMs to solve security challenges. Fine-tune models for accuracy, efficiency, and scalability.
Implementation and Integration: Implement AI models and solutions within the existing infrastructure, ensuring compatibility and integration with existing systems and processes. Collaborate with software engineers and IT teams to deploy AI solutions into production environments. Help the team in all aspects of building AI features from inception to productization to monitoring in production.
Performance Monitoring and Optimization: Continuously monitor AI models and solutions to ensure optimal performance, accuracy, and efficiency. Identify and address performance bottlenecks and optimize AI models for real-time and scalable proce
📌 Sarthee-Gen AI Engineer (Bengaluru)
🏢 NextHire
📍 Bengaluru
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