▷ (Urgent) AI Tech Lead

3 weeks ago

Delhi India Intensity Global Technologies Limited Full time

Job Description

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&aposs 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 projectsfrom 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.
- Business Impact & Metrics
- Define KPIs and ROI for AI initiatives.
- Monitor model performance and business impact post-deployment, and refine strategies as needed.

Required Qualifications

- Bachelor&aposs or Masters 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.g., 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.g., 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.

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