Senior Lead Engineer - Artificial Intelligence

AI & 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 (eg, TensorFlow, PyTorch), data science tools (eg, 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.

Team Leadership & Mentoring:

• Lead and mentor a team of AI engineers, data scientists, and analysts.
• Foster a collaborative environment that encourages innovation, learning, and professional growth.
• Provide technical guidance and support to team members in their day-to-day tasks.

• 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.

• Work closely with product development, IT, and business units to integrate AI and data science solutions into products and services.
• Translate complex technical concepts into actionable insights for non-technical stakeholders.
• Partner with external vendors and research institutions to bring in new technologies and expertise.

• 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.