Job title: senior data scientist we are seeking an experienced professional to lead our data science efforts and drive business outcomes through advanced machine learning techniques. The ideal candidate will have a strong background in applied data science, including ownership of production model development and deployment.key responsibilities:architect large-scale, production-grade ml pipelines using tools such as airflow, kubeflow, aws step functions, or sagemaker pipelines.leverage deep expertise in aws sagemaker (training jobs, pipelines, feature store, model registry, multi-model endpoints, serverless inference) to develop and deploy models at scale.implement advanced ml architectures, including representation learning, forecasting, generative models, and anomaly detection, to solve complex business problems.apply mlops practices, including ci/cd (github actions, codepipeline), containerization (docker), orchestration (kubernetes/eks), and monitoring (prometheus, cloudwatch, datadog), to ensure model governance and adherence to production slas.work closely with cross-functional teams to integrate data science solutions into the organization's overall strategy.communicate technical concepts effectively to stakeholders and drive business impact through data-driven decision making.required skills and qualifications:7+ years of experience in applied data science or machine learning engineering, including ownership of production model development and deployment.deep expertise in python, deep learning frameworks (tensorflow, pytorch), and advanced ml architectures.experience architecting large-scale, production-grade ml pipelines and leveraging cloud services to drive business outcomes.strong understanding of mlops practices, including ci/cd, containerization, orchestration, and monitoring.excellent communication and stakeholder-facing skills, with the ability to drive business impact through data-driven decision making.benefits:this is a unique opportunity to join a dynamic team and contribute to the growth and success of our organization. We offer a competitive compensation package, opportunities for professional growth and development, and a collaborative work environment.other opportunities:we are committed to fostering a culture of innovation, creativity, and continuous learning. Our team members have access to cutting-edge technologies, training programs, and networking events to stay ahead of the curve in their field.