Innovation hub team leader

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Key Responsibilities:

Team Leadership:

• Lead, mentor, and manage a team of R&D engineers, software developers, and AI specialists.

• Provide technical guidance to ensure high-quality software development and AI integration.

• Foster an environment of continuous learning and encourage innovation within the team.

• Ensure the team follows industry best practices in software development and AI research.

Project Management:

• Oversee the development of both AI PoCs and full E2E application development, ensuring projects are delivered on time and within scope.

• Break down complex business requirements into actionable technical tasks for the team.

• Ensure effective communication with stakeholders, providing regular updates on project progress, risks, and mitigation strategies.

• Manage multiple concurrent R&D projects, prioritizing resources based on business needs and project timelines.

AI Integration and application development:

• Drive the integration of AI technologies into software products, applying techniques such as machine learning, deep learning, NLP, and computer vision.

• Collaborate with the AI research team to convert experimental models into production-ready solutions.

• Guide the team in selecting the best AI frameworks, tools, and methodologies for each project.

• Optimize AI models for production environments, ensuring scalability and performance.

• Collaborate with software development teams to implement robust application features, services, and APIs.

• Leverage modern software development practices such as Agile or Scrum methodologies to ensure efficient development cycle

Innovation & R&D Strategy:

• Contribute to the R&D roadmap by identifying emerging technologies and trends that align with business goals.

• Lead innovation efforts to explore the potential of new AI application technologies, creating prototypes and PoCs.

• Drive the development of AI-driven software applications that solve real-world problems and provide business value.

• Encourage experimentation within the team to push the boundaries of what is possible with AI application development.

Stakeholder Engagement:

• Work closely with business stakeholders, product managers, and external clients to understand requirements and translate them into technical solutions.

• Present PoCs, technical findings, and software demonstrations to internal and external stakeholders.

• Gather feedback from stakeholders to iteratively improve software solutions and ensure alignment with business needs.

Documentation & Reporting:

• Ensure that all R&D projects, software applications, and PoCs are well-documented for future reference and handover to operational teams.

• Prepare technical reports, create IP, and presentations on R&D outcomes 

• Maintain project documentation, including design specifications, code reviews, and testing results.

Qualifications:

• Bachelor’s/Master’s degree in Computer Science, Software Engineering, AI, or related fields.

• 7+ years of experience in solution development in AI/ML technologies, with at least 4 years in a leadership role.

• Proven track record of delivering E2E applications, from architecture design to deployment.

• Strong programming skills in languages such as Python, Java, C++, or similar.

• Hands-on experience with AI frameworks and tools (TensorFlow, PyTorch, Keras) as well as software development environments.

• Experience working with cloud platforms (AWS, Azure, Google Cloud) for application deployment and scaling.

• Knowledge of software development best practices, including design patterns, testing strategies, CI/CD pipelines, and version control (Git).

• Strong communication skills, able to translate complex technical concepts into actionable plans and clear presentations for stakeholders.

Preferred Skills:

• Experience in full-stack development, including front-end (React, Angular) and backend (Node.js, Django, etc.) technologies.

• Knowledge of DevOps practices and tools (Docker, Kubernetes, Jenkins).

• Experience in AI-driven software development, particularly in fields like NLP, computer vision, and data analytics.

• Familiarity with Agile or Scrum methodologies for software development.

• Prior experience with AI model deployment and optimization in production environments.

Why Join Us:

• Lead a team of passionate professionals working on the frontier of AI and software development.

• Contribute to impactful AI-driven software solutions that solve real-world problems.

• Work in a collaborative environment that values innovation, continuous learning, and growth