Zorba Consulting - Project Manager - Gen AI

Description:

IT Project Manager (AI / GenAI Focus)

Experience & Background:

- 8 to 10 years of progressive experience in Data Science, Machine Learning, Deep Learning, and GenAI, preferably in large-scale or multinational environments.

- Masters or PhD in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative field.

- Proven ownership of end-to-end AI/ML initiativesfrom problem framing and data preparation to deployment, monitoring, and business impact realization.

- Experience working closely with HR, workforce analytics, or people analytics domains is highly preferred.

Technical Expertise:

- Strong hands-on expertise in Python and SQL, with solid software engineering practices.

- Deep understanding of ML/DL techniques:

- Regression, classification, clustering

- Supervised & unsupervised learning

- Time-series forecasting and optimization

Advanced experience in NLP and GenAI, including:

- LLM integration (OpenAI and similar frameworks)

- RAG pipelines, vector databases

- Frameworks such as LangChain and LangGraph

- Production-grade model deployment experience using cloud platforms (AWS / Azure / GCP).

- Hands-on experience with TensorFlow, PyTorch, and MLOps best practices.

- Exposure to Databricks, Dataiku, or similar enterprise data platforms (certifications are a plus).

Business & Stakeholder Skills:

- Strong ability to translate complex AI/ML concepts into actionable business insights for non-technical stakeholders.

- Demonstrated success in stakeholder alignment, especially with HR and business leaders, to validate models and ensure measurable outcomes.

- Experience delivering workforce analytics solutions, including:

- Attrition prediction

- Workforce planning

- Associate 360 / employee experience analytics

- Comfortable operating as an independent contributor, owning outcomes without heavy supervision.

Delivery & Scalability:

- Proven track record of deploying scalable, robust, interpretable, and low-latency AI solutions in production.

- Strong understanding of model performance, monitoring, explainability, and governance in enterprise settings.

- Ability to integrate AI insights into dashboards and visualization tools for decision support.

Leadership & Knowledge Sharing:

- Acts as a technical thought leader, driving innovation in AI, GenAI, and Agentic AI.

- Regularly conducts knowledge-sharing sessions, internal demos, and best-practice walkthroughs.

- Produces clear documentation to support adoption, reproducibility, and smooth handovers across teams.

In One Line:

A senior, hands-on AI/ML leader who combines deep technical expertise in GenAI and LLMs with strong business and HR analytics acumen, capable of independently delivering scalable, production-ready solutions with measurable enterprise impact.