Roles & ResponsibilitiesAI & Data Strategy Development:Lead the design and implementation of AI and data science strategies aligned with the company’s business objectives. Identify opportunities for AI-driven innovations and data-driven insights across the organization. Collaborate with senior management to align AI and data initiatives with long-term business goals.Project Leadership & Execution:Manage the end-to-end lifecycle of AI and data science projects, from conceptualization to deployment. Oversee the development of predictive models, machine learning algorithms, and advanced analytics solutions. Ensure that all AI and data science projects meet quality, accuracy, and scalability standards.Technical Expertise & Innovation:Design and deploy robust machine learning models, deep learning architectures, and data pipelines. Lead the adoption of cutting-edge AI and data science technologies, including cloud-based platforms and big data tools. Continuously explore new methodologies, tools, and approaches to improve the performance and scalability of AI solutions. Strong programming skills in Python, R, or Scala, with expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch), data science tools (e.g., Pandas, Scikit-learn) and Natural Language Processing techniques. Expertise in AG, Deep understanding of transformers, Diffusion models, Embeddings, Generative AI, multimodal, Agentive workflow, multi agent sync, Encoders, Decoders. Proficiency in data preprocessing, feature engineering, model selection, and hyperparameter tuning. Deep understanding of statistical analysis, machine learning, deep learning, and data mining techniques. Excellent problem-solving skills, with the ability to think out of the box, strategically and creatively. Strong communication skills with the ability to articulate complex technical concepts to non-technical audiences.Data Governance & Quality Management:Establish best practices for data governance, data quality, and data management within the organization. Ensure compliance with data privacy regulations and ethical standards in all AI and data science projects. Collaborate with IT and data teams to maintain and enhance the organization’s data infrastructure.Performance Monitoring & Reporting:Develop and maintain metrics to track the performance and impact of AI and data science initiatives. Present findings, insights, and recommendations to senior leadership in a clear and concise manner. Ensure continuous improvement of AI models and data analytics processes through regular review and feedback loops.
Job Title
Senior Lead Engineer - Artificial Intelligence