AI Engineer

Strong programming skills in Python (Django, Flask, FastAPI). • Basic understanding of AI/ML concepts (TensorFlow, PyTorch, Scikit-learn). • Familiarity with Generative AI models (OpenAI GPT, Stable Diffusion, BERT, etc.). • Hands-on experience with databases (SQL, NoSQL). • Knowledge of front-end technologies (React.js, Angular). Key Responsibilities: • Develop and implement AI/ML models, including Generative AI (Gen AI) models for real-world applications. • Work on NLP, Computer Vision, and Large Language Models (LLMs) to build AI-powered solutions. • Develop APIs and integrate AI models into full-stack applications. • Build and maintain web applications using front-end and back-end technologies. • Optimize AI models for performance, efficiency, and deployment in cloud environments. • Research and experiment with the latest AI trends, including Chatbots, Image & Text Generation, and AI-driven automation. • Collaborate with cross-functional teams to design and deploy AI-driven solutions. • Ensure best practices in code quality, security, and scalability. Required Skills & Qualifications: • Strong programming skills in Python (Django, Flask, FastAPI). • Basic understanding of AI/ML concepts (TensorFlow, PyTorch, Scikit-learn). • Familiarity with Generative AI models (OpenAI GPT, Stable Diffusion, BERT, etc.). • Hands-on experience with databases (SQL, NoSQL). • Knowledge of front-end technologies (React.js, Angular). • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is a plus. • Understanding of DevOps, Docker, and CI/CD pipelines is a bonus. • Strong problem-solving skills and ability to work in a fast-paced environment. B.E/ B.Tech in computer science , passing year on or before 2025. MCA, passing year on or before 2025. Gratitude, Sonia Singh HR Recruiter sonia.singh@nsquarexperts.com