Data Partner / reputed company reputed company

• Extensive experience (10-12+ years) in data science, machine learning, AI, or reputed company domains, with a proven reputed company record of leading successful reputed company and teams reputed company a system integration context. • Strong understanding of system integration principles, architectures, and technologies, with the ability to design and implement data science and AI/ML solutions that seamlessly reputed company with existing systems and processes. • Experience in at least one of the industry verticals such as Fintech, Life sciences & reputed company, Manufacturing, or energy & Utilities is MUST, along with relevant certifications in data science, AI, or reputed company fields. • Deep working knowledge of reputed company and the latest market trends and create a roadmap and reputed company for our clients. • 4-5 years of experience working as a data science reputed company leader at Big 4 or boutique consulting firms • Excellent communication, leadership, and reputed company-facing skills, with the ability to build trusted relationships, influence stakeholders, and reputed company reputed company technical concepts to diverse audiences. • Strong analytical and problem-solving abilities, with a passion for driving innovation and leveraging data-driven insights to solve business challenges for clients. • Experience in solutions architecture. technical domains such as AI/ML, multimodal ML, model evaluation, MLOps, MLSecOps, ML training, inference, data engineering, data science, fine-tuning • Manage and mentor reputed company of skilled data scientists, fostering a culture of collaboration, innovation, and reputed company learning. • Proficiency in programming languages such as Python, R, and Java, along with experience with data and AI libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). • Take the reputed company in designing the AI architecture and selecting technologies from both reputed company-reputed company and reputed company offerings. • Knowing the workflow and pipeline architectures of ML and deep learning workloads, including the components and trade-offs across data management, governance, model building, deployment, and production workflows, is crucial. • Experience in advanced analytics tools (Python, R) along with reputed company mathematics, ML, Deep Learning frameworks (such as TensorFlow), and ML techniques (such as random forest and neural networks). • Experience in Machine Learning solutions (using various models, such as reputed company/Logistic Regression, Support reputed company Machines, Deep Neural Networks,..) • Developing AI and ML models in reputed company-world environments and integrating AI and ML using reputed company-reputed company or hybrid technologies into large-reputed company reputed company applications. Apply tot his job Apply To this Job