As a seasoned expert in artificial intelligence, you will play a pivotal role in crafting and deploying sophisticated machine learning models to address complex business challenges and drive tangible outcomes. About the Role The ideal candidate will lead strategic conversations with stakeholders to distill domain insights, define key data requirements, and identify actionable performance metrics. Additionally, they will be responsible for making informed decisions regarding modeling approaches, evaluation metrics, and techniques to ensure business relevance. - Key Responsibilities: - Develop, test, and refine models using regression, supervised learning (e.g., XGBoost), anomaly detection, and time series modeling. - Utilize industry-standard tools such as Scikit-learn, Keras, and PyTorch, and manage models via MLflow and Databricks. - Communicate model architecture, performance metrics, and business impact to non-technical stakeholders. - Continuously align modeling outcomes with business goals to ensure tangible results and drive value for clients. Requirements & Qualifications To succeed in this role, you should have: - Strong proficiency in ML libraries such as Scikit-learn, Keras, PyTorch - Hands-on experience with MLflow and Databricks for model management - Expertise in regression, supervised learning (e.g., XGBoost), anomaly detection, and time series modeling - Proven ability to distill complex model results for non-technical audiences - Experience leading client conversations to define domain context, business goals, and appropriate modeling strategies - Ability to independently select and defend modeling approaches and evaluation metrics in a business context What We Offer We provide: - A collaborative work environment that fosters growth and innovation - Ongoing professional development opportunities to enhance your skills and expertise - A dynamic team that shares knowledge and best practices to achieve success - Career advancement opportunities to help you reach new heights