Project Lead

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

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or an equivalent discipline.