AI product owner. - 10 years - Hyderabad - WFO
- Full-time
Company Description
Hiring for our IT client
Job Description
Roles & Responsibilities:
Keen attention to detail A confident and charismatic person, able to engage with any level of user within the business. A good level of numeracy The ability to lead AI automation projects and work within project scopes Ability to juggle different tasks effectively Ability to lead a team and provide mentorship The ability to understand how users learn and adapt to technology Flexibility with working hours due to the nature of the role Strong written and verbal communication skills are a must NB: The successful candidate will be required to pass our security screening procedures.
Exp: 5 to 10 years
Location: Hyderabad.
Shift: As per roster.
Must have:
Very strong organisational skills 10+ years in a technical role, including 5+ years building AI/ML powered workflows and automation solutions Leadership or team lead experience, particularly within AI Innovation Hands-on experience with Azure AI, Open AI Apis, Copilot MLOps and Cloud-native data engineering Experience working across departments and coaching non-technical stakeholders Experience with Azure OpenAI studio or Similar enterprise AI environments Exposure to model-driven apps and Dataverse integration Working knowledge Microsoft Power platform suites Experience contributing to AI/ML strategy at an organisational level Awareness of AI safety, compliance and ethical frameworks PowerShell scripting, SQL Query creations. Power platform workflow creation User rollout of cloud based IT solutions
Qualifications
BE in IT
Additional Information
Must have:
Proven experience in AI/ML model development, particularly generative models and transformers.
Hands-on experience with MLOps, AI pipelines, and cloud deployment of AI systems.
Proficiency in Python and AI frameworks such as PyTorch, TensorFlow, or similar.
Strong understanding of deep learning, reinforcement learning, NLP, and unsupervised learning.
Experience with data engineering, preprocessing, and model optimization for generative AI applications.
Knowledge of model versioning, monitoring, and CI/CD for AI/ML systems.
Strong problem-solving skills, strategic thinking, and ability to communicate complex AI concepts to stakeholders.