Data Scientists analyze and interpret data to uncover insights, identify patterns, and solve complex business problems. In this role, you will work with structured, unstructured, and streaming data, leveraging AI tools, machine learning, and deep learning techniques to develop predictive models and data-driven solutions.
Utilizing cloud infrastructure and advanced analytics, you will design, develop, and deploy scalable AI/ML applications. Additionally, you will collaborate closely with clients, internal teams, and cross-functional stakeholders to ensure that AI solutions align with business objectives and deliver measurable impact.
This role requires both strong technical expertise and consulting capabilities, ensuring that AI-driven insights translate into strategic recommendations.
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Key Responsibilities:
• Lead the design, development, and deployment of end-to-end AI/ML solutions, ensuring strategic alignment with client business needs.
• Define best practices for AI/ML architectures, model governance, and MLOps pipelines.
• Provide thought leadership, guiding internal teams and clients on AI-driven strategy, implementation, and measurable business impact.
• Develop predictive models in Python using AI libraries such as TensorFlow, PyTorch, or other cutting-edge open-source frameworks.
• Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants, and database administrators from diverse backgrounds.
• Lead teams in data cleansing, integration, and reusable AI solution development based on client needs.
• Communicate technical results and insights effectively to both technical and non-technical stakeholders