Project Lead

About the Role

Project Lead – Python & AI Developer

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.