Intensity Global Technologies

3 weeks ago

Delhi Division, India Intensity Global Technologies Full time

About the Role :

We are seeking an experienced and visionary AI Vertical Lead to spearhead our artificial intelligence initiatives across verticals (e. g healthcare, finance, and manufacturing).

This role requires a unique blend of domain expertise, technical proficiency, and strategic leadership.

You will work cross-functionally to identify high-impact opportunities for AI, drive implementation of advanced solutions, and ensure business alignment and value realization.

Key Responsibilities :

AI Strategy & Roadmap :

- Develop and execute the AI roadmap aligned with the business unit's strategic goals.

- Identify key business problems that can be solved with AI and prioritize use cases.

- Lead feasibility assessments, pilot programs, and full-scale deployments.

Stakeholder Engagement :


- Collaborate with senior executives, product owners, and engineering teams to translate business needs into AI opportunities.

- Evangelize AI capabilities and educate non-technical stakeholders.

Project Leadership :


- Lead cross-functional teams of data scientists, ML engineers, and analysts.

- Oversee the end-to-end lifecycle of AI projects-from ideation and prototyping to production deployment and monitoring.

- Ensure ethical, transparent, and regulatory-compliant AI implementation.

Technical Oversight :


- Provide guidance on data strategy, model selection, architecture, and performance optimization.

- Review code, pipelines, and model performance to ensure quality and scalability.

Required Qualifications :


- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

- 5+ years of experience in AI/ML, including 1+ years in a leadership role.

- Proven experience in applying AI within a specific vertical (e., healthcare, finance, retail, logistics).

- Strong technical understanding of ML, NLP, computer vision, LLMs, and data engineering principles.

- Experience with AI/ML tools and platforms (e. Python, TensorFlow, PyTorch, AWS/GCP/Azure AI services).

- Excellent leadership, communication, and stakeholder management skills.

- Familiarity with AI governance, responsible AI practices, and relevant industry regulations

(ref:hirist.tech)

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