Project Lead - Artificial Intelligence

About the Role :

We are seeking an accomplished Project Lead Python & AI Developer to lead end-to-end delivery of AI-powered analytics and product development initiatives.

The ideal candidate is a strategic and hands-on technical leader with deep expertise in Python, Artificial Intelligence, predictive modeling, and analytics engineering.

You will drive innovation in a fast-paced product development environment, overseeing multiple high-impact projects, managing cross-functional teams, and ensuring timely delivery under tight deadlines and high-pressure conditions.

Key Responsibilities :

Technical Leadership & Project Management :

- Lead, plan, and deliver multiple AI and analytics product development projects simultaneously with full ownership.

- Translate complex business requirements into scalable, intelligent, and production-ready solutions.

- Manage end-to-end project lifecycle, ensuring adherence to delivery timelines and quality benchmarks.

- Guide, mentor, and review work of Python developers, AI engineers, and data analysts.

- Set and enforce coding standards, architectural best practices, and delivery protocols.

- Thrive in a high-pressure environment, balancing priorities across concurrent projects and stakeholders.

Python & AI Development :

- Architect, design, and implement AI-driven Python applications and intelligent automation frameworks.

- Build and optimize ETL pipelines, real-time data workflows, and analytics utilities.

- Architect and design predictive modeling systems to forecast market trends and operational performance.

- Lead the development of Genetic AI models for automated reporting, pattern detection, and process optimization.

- Integrate APIs, databases, and cloud-based AI solutions (AWS, Azure, GCP) into scalable architectures.

- Utilize libraries such as Pandas, NumPy, SQL, Flask/FastAPI, TensorFlow, PyTorch, and scikit-learn to deliver high-quality analytical outputs.

AI Modeling & Advanced Analytics :

- Design and deploy AI/ML models for predictive insights, anomaly detection, and strategic decision-making.

- Drive the adoption of Genetic AI modeling techniques to improve forecasting accuracy and reporting intelligence.

- Ensure model scalability, interpretability, and continuous performance monitoring.

- Collaborate with cross-functional teams to integrate AI outcomes with business intelligence tools and automated dashboards.

Collaboration & Stakeholder Management :

- Partner with Product, BI, and Data Science teams to align AI deliverables with product goals and analytics strategies.

- Communicate effectively with leadership teams, ensuring transparency on project progress, risks, and outcomes.

- Maintain alignment between technical feasibility and business objectives in a dynamic, product-centric environment.

Quality, Security & Optimization :

- Ensure adherence to data governance, security, and scalability standards across all deliverables.

- Perform code reviews, AI model audits, and system performance tuning.

- Oversee testing, documentation, and continuous improvement across AI development cycles.

Required Skills & Experience :

- 10+ years of experience in Python development and AI engineering, preferably within product-oriented analytics environments.

- Proven track record of leading multiple concurrent projects with successful delivery under tight timelines.

- Strong hands-on experience in architecting predictive and AI modeling systems.

- Expertise in Pandas, NumPy, SQL, Flask/FastAPI, REST APIs, and workflow automation.

- Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).

- Strong understanding of Genetic AI modeling, predictive analytics, and automated reporting pipelines.

- Cloud experience on AWS, Azure, or GCP (any one mandatory).

- Excellent debugging, optimization, and architectural design skills under demanding conditions.

Good-to-Have Skills :

- Experience with deep learning models, MLOps, and AI model lifecycle management.

- Proficiency in Tableau, Power BI, or other BI and visualization tools.

- Familiarity with DevOps (CI/CD, Docker, Jenkins, Git).

- Experience in Agile/Scrum product development environments.

Qualifications :

Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or an equivalent discipline.