Senior Data Scientist - Artificial Intelligence/Machine Learning

As a Senior Data Scientist with 5+ years of experience, your role will involve building and deploying scalable AI solutions. Your expertise in recommendation systems, NLP/chatbots, Generative AI, and LLMs will be crucial for this position. You should have hands-on experience in Python, ML frameworks, and cloud platforms. **Key Responsibilities:** - Design and optimize recommendation systems to enhance user experience and engagement. - Build and deploy NLP-based chatbots for automating customer interactions and business workflows. - Develop Generative AI solutions for content generation and process automation. - Apply and fine-tune LLMs (e.g., GPT, BERT) to address business-specific challenges. - Collaborate with engineering teams to implement scalable and reliable ML models in production. - Mentor junior team members and promote the adoption of best practices in AI/ML development. **Qualifications Required:** - 5+ years of experience in Data Science/Machine Learning, focusing on building and deploying AI models. - Expertise in recommendation systems, including collaborative filtering, matrix factorization, and content-based filtering. - Hands-on experience with NLP & chatbots, utilizing conversational AI frameworks. - Strong knowledge of Generative AI & LLMs, including transformer models like GPT, BERT, T5, and GANs. - Proficiency in ML frameworks & programming: Python, TensorFlow, PyTorch, Scikit-learn, and libraries such as NumPy, Pandas, Hugging Face, NLTK. - Experience with cloud platforms such as AWS (including Bedrock), GCP, or Azure for deploying and scaling ML models. This company values innovation, collaboration, and continuous learning in the field of AI and ML. Join us to work on cutting-edge projects and make a real impact in the world of data science. As a Senior Data Scientist with 5+ years of experience, your role will involve building and deploying scalable AI solutions. Your expertise in recommendation systems, NLP/chatbots, Generative AI, and LLMs will be crucial for this position. You should have hands-on experience in Python, ML frameworks, and cloud platforms. **Key Responsibilities:** - Design and optimize recommendation systems to enhance user experience and engagement. - Build and deploy NLP-based chatbots for automating customer interactions and business workflows. - Develop Generative AI solutions for content generation and process automation. - Apply and fine-tune LLMs (e.g., GPT, BERT) to address business-specific challenges. - Collaborate with engineering teams to implement scalable and reliable ML models in production. - Mentor junior team members and promote the adoption of best practices in AI/ML development. **Qualifications Required:** - 5+ years of experience in Data Science/Machine Learning, focusing on building and deploying AI models. - Expertise in recommendation systems, including collaborative filtering, matrix factorization, and content-based filtering. - Hands-on experience with NLP & chatbots, utilizing conversational AI frameworks. - Strong knowledge of Generative AI & LLMs, including transformer models like GPT, BERT, T5, and GANs. - Proficiency in ML frameworks & programming: Python, TensorFlow, PyTorch, Scikit-learn, and libraries such as NumPy, Pandas, Hugging Face, NLTK. - Experience with cloud platforms such as AWS (including Bedrock), GCP, or Azure for deploying and scaling ML models. This company values innovation, collaboration, and continuous learning in the field of AI and ML. Join us to work on cutting-edge projects and make a real impact in the world of data science.