Technical Lead - AI & Data

Key Responsibilities:

1. Project Planning and Execution

• Develop comprehensive project plans outlining scope, timeline, and resource allocation.
• Define project objectives, deliverables, timeline, and success metrics in collaboration with stakeholders.
• Oversee the execution of AI and data science projects, ensuring adherence to deadlines and quality standards.
• Track progress, manage resources, and ensure on-time, on-budget project delivery.

2. Requirements Gathering & Product Definition

• Collaborate with internal stakeholders to identify user needs, pain points, and success criteria, particularly for university students as the target audience.
• Translate business and client requirements into clear, actionable product specifications for AI features.
• Prioritize features based on impact, feasibility, and alignment with business strategy.

3. Stakeholder Management

• Act as the primary point of contact for stakeholders, communicating project progress, challenges, and solutions.
• Gather and document requirements from stakeholders, ensuring alignment with business goals.
• Manage stakeholder expectations and facilitate regular status updates.

4. Cross-Functional Collaboration

• Work closely with other departments to ensure seamless project execution.
• Facilitate communication and collaboration between Sales & Operation Department.
• Ensure alignment between technical outputs and business needs.

5. Technical Oversight and Quality Assurance

• Monitor the development and deployment of AI models and data-driven solutions.
• Ensure the technical feasibility of projects by coordinating with the team to validate proposed approaches.
• Establish best practices for testing, validation, and implementation of AI/ML models.
• Work closely with external AI programmers to design and optimize LLM and RAG-based solutions for our SaaS software.
• Oversee testing processes, quality assurance, and performance metrics for AI features.
• Ensure AI solutions adhere to industry best practices and compliance requirements.

6. Risk Management & Problem Solving

• Identify potential risks and implement mitigation strategies.
• Address and resolve project issues promptly, minimizing impacts on timelines and deliverables.
• Maintain a contingency plan for critical project phases.
• Continuously review and refine workflows to enhance efficiency and reduce costs.

7. Product Enhancement & Innovation

• Continuously evaluate product performance against client needs and market trends.
• Propose new features or improvements to enhance product value, drawing on your understanding of LLMs, RAG pipelines, and SaaS business models.
• Collaborate with user experience (UX) and design teams to ensure high-quality product interfaces for university students.

8. Stakeholder Communication

• Serve as the primary liaison between external developers, internal teams, and senior management.
• Present project updates, feature roadmaps, and technical findings in clear, non-technical language.
• Collect and integrate feedback from diverse stakeholders throughout the development cycle.

9. Compliance and Ethical Standards

• Ensure compliance with data privacy, security, and governance regulations.
• Promote ethical AI practices, ensuring fairness, transparency, and accountability in AI models and processes.

10. Innovation and Continuous Learning

• Stay updated with the latest trends in AI, machine learning, and data science.
• Encourage innovative approaches to solve complex business problems.
• Advocate for the adoption of new tools and technologies to enhance team productivity.

11. Industry & Market Research

• Stay updated on emerging AI trends, competitor SaaS products, and industry developments.
• Provide recommendations on new AI tools or methodologies that could enhance our SaaS platform for university students

Required Knowledge and Skills:

• Diploma or Bachelor Degree in Computer Science, Software Engineering or a related field.
• Experience in project management, product management, or a similar role—preferably in AI or SaaS software development.
• Familiarity with large language models (GPT, LLaMA, Claude, etc.) and AI/ML concepts.
• Basic understanding of RAG pipelines, AI retrieval systems, and NLP applications.
• Comfortable discussing feasibility, complexity, and scope with AI/ML developers.
• Strong problem-solving skills and the ability to think critically about complex problems.
• Strong passion in different areas of AI and ML
• Understanding of machine learning (ML) concepts, algorithms, and frameworks (e.g., supervised/unsupervised learning, deep learning).
• Proven track record of delivering projects on time and within budget.
• Proficiency in project management tools (e.g., JIRA, Trello, Asana).
• Experience defining and executing product roadmaps, from ideation to launch.
• Strong knowledge of statistical methods, predictive modeling, and data analysis techniques.
• Openness to feedback and collaborative problem-solving.
• Curiosity and eagerness to stay updated with the latest research and advancements in AI and data science.
• Willingness to learn new tools, techniques, and concepts as the field evolves.

Benefits:

• Work From Home
• Flexibility
• Fun Working Environment
• Career Growth Opportunities

Job Type: Full-time