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.