Job Description

About the CompanyWe leverage our strong capabilities to build powerful solutions that make a real difference for our clients. We offer a full lifecycle approach to our services, from discovery sessions, design workshops, and business process analysis to deployment, change management, and ongoing support to help clients get the most out of their investment in the platform.:We are seeking a highly skilled AI Product Analyst to join our team. The ideal candidate will have experience developing AI systems and a strong ability to read and analyse technical research papers. This role requires a combination of technical expertise, market understanding, and strategic thinking to identify and evaluate new opportunities for AI product development.RequirementsKey Responsibilities:

• Research Analysis: Read and analyse technical research papers in artificial intelligence, machine learning, and related fields to identify potential applications and implications for our products.

• Evaluate New Technologies: Assess emerging AI technologies and methodologies to determine their feasibility, scalability, and potential impact on our product offerings.

• Define Product Requirements: Collaborate with product managers, engineers, and other stakeholders to define detailed product requirements based on insights gained from technical research and market analysis.

• Develop AI Systems: Collaborate with data scientists and engineers to design, develop, and implement AI systems that solve specific business challenges.

• Market Research: Conduct market research to understand customer needs, industry trends, and competitive landscape, and integrate these insights into product strategy.

• Data Analysis and Insight Generation: Analyse datasets to extract insights and validate the applicability of new AI techniques in solving specific business challenges.

• Thought Leadership and Content Creation: Develop thought leadership content, such as white papers, blog posts, and industry presentations, to establish the company as a leader in the AI space.

• Product Development Support: Work closely with engineering and data science teams to guide the development and optimization of AI systems based on research findings and market needs.

• Cross-Functional Collaboration: Collaborate with cross-functional teams to align on product strategy and ensure the successful integration of new technologies.

• Stay Updated on AI Trends: Keep abreast of the latest developments in AI and machine learning to ensure our products remain innovative and competitive.

• Education: Masters degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field. A Ph.D. is highly desirable.

• Experience: 3+ years of experience in developing AI systems, with a strong understanding of machine learning, natural language processing, computer vision, or other AI technologies.

• Experience: Proven experience in AI product development or research, with a strong focus on reading and analysing technical research papers.

• Technical Expertise: Proficiency in AI frameworks and tools such as TensorFlow, PyTorch, Keras, or similar, and experience with programming languages like Python, R, or Java.

• Research Skills: Strong ability to critically read, understand, and evaluate technical research papers and translate findings into actionable product insights.

• Analytical Skills: Excellent analytical skills with a proven ability to leverage data and research to drive strategic decisions.

• Product Management Experience: Experience defining product requirements and contributing to product roadmaps based on technical research and market needs.

• Communication Skills: Strong written and verbal communication skills, with experience in creating technical content and presenting complex ideas to diverse audiences.

• Industry Knowledge: Deep understanding of AI technologies, including machine learning, natural language processing, computer vision, and their applications in various industries.

• Experience in a Specific AI Domain: Expertise in a specific area of AI, such as deep learning, reinforcement learning, or ethical AI.

• Publications and Academic Contributions: Previous experience publishing in academic journals or presenting at industry conferences.

• Knowledge of Market Dynamics: Understanding of the commercial AI landscape, including key players, market dynamics, and regulatory considerations.

• Advanced Certifications: Relevant certifications in AI, data science, or product management.

• Competitive Compensation: A competitive salary and benefits package, including health insurance, retirement plans, and paid time off.

• Professional Development: Opportunities for continuous learning, including workshops, conferences, and certifications.

• Innovative Work Environment: A dynamic and collaborative workplace that fosters creativity and innovation.

• Career Growth: Clear opportunities for career progression and professional development within the company.

VE3