Project Lead

About the RoleWe 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 ResponsibilitiesTechnical 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.

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