Senior Gen AI Data Scientist

As a Senior Gen AI Data Scientist in the Transformation team, your role involves collaborating with data scientists and stakeholders to understand business requirements and translate them into machine learning and generative AI solutions. You will be responsible for designing, developing, and implementing machine learning models and algorithms to solve complex business problems. Additionally, you will use software design principles to develop production-ready code, collect, preprocess, and analyze large datasets, and optimize machine learning models for performance and accuracy. Your responsibilities may also include deploying machine learning models into production environments, monitoring their performance, and developing processes and tools to analyze model performance and data accuracy. It is essential to stay updated with the latest advancements in machine learning and apply them to enhance existing models and algorithms. Collaboration with cross-functional teams to integrate machine learning solutions into existing systems and workflows, documenting and communicating machine learning solutions, methodologies, and results to technical and non-technical stakeholders, and mentoring junior Gen AI Data Scientists are also part of your role. Key Responsibilities: - Design, develop, and implement machine learning models and algorithms to solve complex business problems. - Use software design principles to develop production-ready code. - Collect, preprocess, and analyze large datasets to train and evaluate machine learning models. - Optimize and fine-tune machine learning models for performance and accuracy. - Deploy machine learning models into production environments and monitor their performance. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Stay up to date with the latest advancements in machine learning and apply them to improve existing models and algorithms. - Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows. - Document and communicate machine learning solutions, methodologies, and results to technical and non-technical stakeholders. - Mentor and provide guidance to junior Gen AI Data Scientists. Qualifications Required: - Strong understanding of ML algorithms and techniques, including supervised, unsupervised learning, deep learning, NLP, Computer Vision, and GenAI. - 7+ years of industry experience in writing production-level, scalable code in Python. - 7+ years of industry experience with popular ML frameworks such as PyTorch, Scikit-learn, NLTK, HuggingFace Transformers, and others. - 5+ years of industry experience with distributed computing frameworks like PySpark. - 5+ years of experience with full-stack web development using Python backend + React frontend or AI builders like replit.com, lovable.dev, builder.io. - 5+ years of experience in building and scaling Generative AI applications, vector DB, Agentic, and RAG applications. - Experience in deploying, monitoring, finetuning, evaluating LLM/VLM models, and building AI agents. - 5+ years of industry experience with major cloud computing services like AWS, Azure, or GCP. - Bachelor's or Master's degree in a quantitative field such as Computer Science, Engineering, Statistics, Mathematics, or related field.,