Ai architect

Role:
AI Architect

• Energy Storage Solutions Responsibilities: Lead the conceptualization and development of AI algorithms to predict and simulate the operational dynamics of energy storage systems, with a focus on precise State of Charge (So C) estimation, proactive battery failure identification, safety hazard anticipation, and predictive maintenance scheduling.

Innovate and explore diverse AI methodologies, including machine learning, deep learning, reinforcement learning, and advanced foundational models, to devise optimal predictive models.

Refine and optimize AI frameworks to ensure both efficiency and accuracy in performance predictions, thereby enhancing the efficacy of maintenance strategies.

Qualifications:
Possess a Master's or Ph D in Computer Science, Artificial Intelligence, or a related field. Demonstrated success in conceptualizing and implementing AI solutions that drive tangible improvements in operational efficiency and performance outcomes. Extensive experience collaborating across interdisciplinary teams to spearhead AI-driven initiatives and projects. Advanced proficiency in AI programming languages and frameworks, such as Python, Tensor Flow, and Py Torch. In-depth understanding of machine learning algorithms, deep learning architectures, and natural language processing methodologies. Strong expertise in data preprocessing, feature engineering, and model optimization techniques. Comprehensive knowledge of Big Data Technologies, encompassing Cloud platforms, SQL/No SQL databases, Hadoop, and Spark. Fluent communication skills in English, serving as the primary language of collaboration and documentation.

If you would be interested in this role, email your CV to - or apply directly via Linked In By applying to this role you understand that we may collect your personal data and store and process it on our systems.

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