Data Science Senior Consultant
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About the role
You will immerse yourself in the core of our clients' businesses , grasping their goals and demands, and transforming these insights into actionable data strategies through a rich understanding of business dynamics. Your journey begins with collecting and scrutinizing data, uncovering hidden patterns and generating initial insights that pave the way for hypothesis formulation. In this capacity, you will engage in a transformative journey encompassing business acumen, data comprehension, and meticulous data preparation. By applying sophisticated statistical and mathematical modelling techniques, you will develop groundbreaking models that address complex business problems. Your keen focus on precision and scalability ensures these models not only resolve issues but do so with optimal efficiency. Beyond model creation and validation, you play a crucial role in operationalizing these models by integrating them into applications and processes. This ensures that the solutions you architect maintain their strategic value throughout their lifecycle. Your expertise transcends data; you will gain deep insights into business processes, mastering their intricacies to identify challenges and design impactful solutions that drive substantial transformation. You will establish and enforce standards and policies that safeguard our clients' most critical assets, ensuring data is secure, private, accurate, accessible, and, crucially, actionable. Your proficiency extends to data management, migration, strategic planning, change management, and navigating policy and regulatory landscapes. Required Skills and Experience 5 years of Data Science experience, or other relevant experience in AI & Analytics domain, with a proven track record of handling stakeholders Collaborate with business stakeholders to identify new AI opportunities Evaluate and recommend appropriate AI frameworks, tools and platforms Lead AI feasibility studies and projects to demonstrate the value and viability of AI solutions Hands on Development end to end AI projects using Python, Flask, FastAPI and Streamlit Have experience in cloud services of Azure to deploy AI products Collaborate with AI architects and engineers to design and develop AI and Generative AI solutions tailored to the requirements In-depth understanding of AI technologies, including machine learning, deep learning, and generative AI techniques (such as generative adversial networks (GANs), variational autoencoders (VAEs), etc.) Good knowledge of AI frameworks, tools, and platform such as TensorFlow, PyTorch Knowledge and affinity of GenAI libraries and tool sets included HuggingFace, LangChain, RAGAS and more
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Company Intel
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