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.