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About Client :- Our client is a French multinational information technology (IT) services and consulting company, headquartered in Paris, France. Founded in 1967, It has been a leader in business transformation for over 50 years, leveraging technology to address a wide range of business needs, from strategy and design to managing operations. The company is committed to unleashing human energy through technology for an inclusive and sustainable future, helping organizations accelerate their transition to a digital and sustainable world. They provide a variety of services, including consulting, technology, professional, and outsourcing services. Job Details:- location : Pan India Mode Of Work : Hybrid Notice Period : Immediate Joiners Experience : 6-8yrs Type Of Hire : Contract to Hire Job Description :- Job Summary: We are seeking a highly motivated and skilled professional with expertise in Generative AI, Artificial Intelligence (AI), and Machine Learning (ML) to join our dynamic team. The ideal candidate will be responsible for developing, deploying, and maintaining intelligent systems and models that can generate content, analyze data, and enhance our product offerings through cutting-edge AI techniques. Key Responsibilities: - Design, develop, and deploy ML and Generative AI models (e.g., GPT, DALL E, Stable Diffusion, etc.) - Build, fine-tune, and optimize LLMs (Large Language Models) and other transformer-based architectures. - Develop and maintain scalable AI/ML pipelines using modern tools and frameworks. - Collaborate with cross-functional teams including data engineering, product, and design to integrate AI features into applications. - Research and implement state-of-the-art AI methodologies to solve real-world problems. - Evaluate model performance and ensure robustness, fairness, and interpretability. - Contribute to AI governance, compliance, and responsible AI practices. - Document development processes, model performance, and decision-making rationale. Required Skills & Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field. - Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). - Solid understanding of deep learning architectures including CNNs, RNNs, GANs, and Transformers. - Hands-on experience with generative models (e.g., LLMs, VAEs, GANs, Diffusion Models). - Proficiency in Python and related libraries (e.g., NumPy, pandas, Hugging Face Transformers). - Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus. - Strong problem-solving and analytical thinking abilities. - Excellent communication and teamwork skills. Preferred Qualifications: - PhD in AI, ML, NLP, or related domain. - Publications or contributions to AI/ML research or open-source projects. - Experience deploying models in production at scale. - Knowledge of responsible AI principles and ethical AI development.

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