Generative AI Engineer - Statistical & Machine Learning Models

As a Gen AI Engineer, your role will involve designing and optimizing scalable AI systems. You will work with large datasets, utilize advanced statistical modeling techniques, and develop large language models (LLMs) using Python. There will also be opportunities for you to explore Agentic AI. Key Responsibilities: - Design, implement, and manage large-scale data and AI solutions. - Develop and fine-tune statistical and machine learning models for real-world applications. - Build, optimize, and deploy LLMs using Python and related frameworks. - Conduct performance tuning and optimization of complex AI systems. - Collaborate cross-functionally with data scientists, ML engineers, and business stakeholders to deliver impactful AI-driven solutions. - (Optional but desirable) Contribute to experimental or production-level projects in Agentic AI. Required Skills & Qualifications: - Strong background in implementing large-scale data and AI systems. - Proficiency in advanced statistical modeling and machine learning techniques. - Hands-on experience developing and deploying LLMs using Python. - Expertise in optimizing performance for high-scale AI applications. - Familiarity with ML/AI frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers). - Excellent problem-solving and communication skills. As a Gen AI Engineer, your role will involve designing and optimizing scalable AI systems. You will work with large datasets, utilize advanced statistical modeling techniques, and develop large language models (LLMs) using Python. There will also be opportunities for you to explore Agentic AI. Key Responsibilities: - Design, implement, and manage large-scale data and AI solutions. - Develop and fine-tune statistical and machine learning models for real-world applications. - Build, optimize, and deploy LLMs using Python and related frameworks. - Conduct performance tuning and optimization of complex AI systems. - Collaborate cross-functionally with data scientists, ML engineers, and business stakeholders to deliver impactful AI-driven solutions. - (Optional but desirable) Contribute to experimental or production-level projects in Agentic AI. Required Skills & Qualifications: - Strong background in implementing large-scale data and AI systems. - Proficiency in advanced statistical modeling and machine learning techniques. - Hands-on experience developing and deploying LLMs using Python. - Expertise in optimizing performance for high-scale AI applications. - Familiarity with ML/AI frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers). - Excellent problem-solving and communication skills.