Overview

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Responsibilities

• Leadership: Direct and support the AI team in developing and implementing advanced AI/ML solutions, ensuring projects align with the company's strategic goals.
• Project Management: Oversee the entire lifecycle of AI projects, from ideation to deployment, prioritizing tasks, and managing resources to meet deadlines and deliverables.
• Technical Mastery: Utilize expertise in Python, NLP, Transformers, and Generative AI to lead technical innovation and maintain high standards of excellence within the team.
• Cloud and MLOps Integration: Leverage cloud platforms such as AWS for deployment and incorporate MLOps practices to enhance model development, deployment, and monitoring.
• System Architecture: Architect scalable, reliable, and high-performing AI systems that integrate seamlessly with existing infrastructure.
• Stakeholder Collaboration: Engage with stakeholders to convert business challenges into analytical questions, fostering a data-driven culture and driving impactful solutions.
• Team Development: Mentor team members, promote professional growth, and cultivate a culture of innovation and continuous improvement.
• Ethical AI Implementation: Uphold ethical standards in AI practices, ensuring models are fair, transparent, and accountable.
• Effective Communication: Develop and deliver clear, concise presentations to communicate complex technical details to diverse audiences, facilitating understanding and buy-in.

Qualifications

• Degree in Computer Science, Engineering, or a related technical field at the bachelor's or master's level; candidates with a Ph.D. will be given preference.
• At least 8 years of professional experience in the realm of Data Science and Machine Learning, including a leadership role with a documented history of success.
• Expertise in Python programming and experience with AI/ML libraries such as TensorFlow or PyTorch.
• Comprehensive understanding of Natural Language Processing (NLP) and hands-on experience with Transformer architectures.
• Proficient in leveraging AWS cloud platforms for the deployment of AI-driven solutions. Manage AWS cloud infrastructure and services including S3, EC2, Lambda, RDS, Glue, Sagemaker, EMR, and Step Functions to build and deploy scalable machine learning models.
• Solid grasp of MLOps concepts and practical experience with tools such as Docker, Kubernetes, and Git for operational efficiency.
• Capable of architecting and executing CI/CD workflows and managing infrastructure as code using tools like Terraform or AWS CloudFormation.
• Exceptional problem-solving abilities, analytical mindset, and effective communication skills.
• Established expertise with a minimum of 8 years in a technical capacity concentrating on AI/ML applications.
• Deep knowledge of AI/ML frameworks, NLP techniques, and Transformer-based model implementations.
• Proficiency in MLOps methodologies, including familiarity with LLMOps.
• Understanding of container orchestration using AWS EKS and familiarity with infrastructure frameworks like Bedrock.
• Oversee ethical AI practices, ensuring fairness, accountability, and transparency in AI systems.
• Expert in AI governance, implementing and monitoring responsible AI frameworks.
• Manage risk and compliance with regulatory and ethical standards for AI deployment.