Job Description
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 experienceProven 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.