In your new role you will:
- Design, develop, and deploy scalable AI/ML models and systems to solve real-world business problems.
- Act as the AI thought leader, helping the organization understand the value and implications of AI technologies.
- Collaborate with leadership to define and drive the organization s AI roadmap and long-term vision.
- Evaluate emerging technologies and trends to guide the organization s strategic AI investments.
- Build proof-of-concepts and prototypes to demonstrate AI capabilities and business impact.
- Establish best practices for data science, machine learning operations (MLOps), and responsible AI usage.
- Work closely with engineering, data, product, and business teams to align technical solutions with business goals.
- Mentor junior AI and data engineers; help build and scale a high-performing AI team.
- Advocate for a culture of experimentation, data-driven decision-making, and continuous learning.
Your Profile
You are best equipped for this task if you have:
- Minimimum 9+ years of relavent experience Proven track record of delivering production-grade AI/ML systems at scale.
- Strong programming skills in Python (preferred) and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Deep understanding of machine learning, deep learning, NLP, computer vision, and related fields.
- Experience with MLOps tools and cloud-based AI services (AWS, GCP, or Azure).
- Exceptional problem-solving, communication, and stakeholder management skills.
- Ability to translate business needs into technical solutions.
- Experience influencing AI strategy or leading AI initiatives in an organizational setting is a plus.
- Ability to stay updated with the latest advancements in generative AI research and incorporate them into work
- Hand-on experience in Version Control Systems, Change Management Systems
- Familiar with Atlassian tools including JIRA, Confluence and Bitbucket
- Excellent interpersonal & communication skills, ability to work with cross-functional teams and leadership capabilities
- Cloud-Based AI: Experience with cloud-based AI platforms.
- Containerization: Knowledge of containerization using Docker and Kubernetes.
- Agile Development: Familiarity with agile development methodologies and version control systems, such as Git.
- DevOps: Experience with DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines.
- Able to work well independently and in a team.
- Advanced degree (MS/PhD) in Computer Science, Data Science, AI, or related disciplines.
