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Project Lead
Project LeadBeroe Inc • India
Project Lead

Project Lead

Beroe Inc • India
5 days ago
Job description

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.
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