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Company Overview
A multinational technology company originating from India, this firm specializes in business consulting, information technology, and outsourcing services.
Job Title: AI Technical Manager/Data Scientist
Responsibilities:
- Hands-on design, development, and deployment of advanced AI models and algorithms to solve complex business problems.
- Foster agility within the team, promoting adaptive planning, evolutionary development, and continuous improvement.
- Provide strategic direction and leadership for all AI initiatives.
- Oversee the work of AI Leads and their teams, ensuring alignment with the broader company goals.
- Drive the formulation, planning, and execution of AI projects, ensuring they are completed on time and within scope.
- Collaborate with senior management and key stakeholders to define AI strategy and priorities.
- Ensure the quality, robustness, and scalability of AI systems and models deployed.
- Facilitate cross-functional collaboration to integrate AI solutions into various business units and processes.
- Keep abreast of industry trends, emerging technologies, and research advancements, applying these insights to ongoing projects.
- Uphold the highest standards of data confidentiality, security, and ethical considerations in all AI applications.
- Communicate AI insights and strategic recommendations to executive leadership and other stakeholders in a clear and compelling manner.
Job requirements:
- Degree in Computer Science, Data Science, Artificial Intelligence, or related field.
- A minimum of 10 years of experience in AI and data science, with at least 5 years in a hands on and leadership role.
- Hands-on experience in successfully managing and delivering large-scale AI projects.
- Proven track record of delivering impactful AI solutions in a business context.
- Extensive knowledge of machine learning algorithms, natural language processing, computer vision, generative AI, and other cutting-edge AI technologies.
- Proficiency in programming languages such as Python and expertise with AI frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Strong understanding of software engineering principles, data architecture, and version control systems (e.g., Git).
- Demonstrated ability to lead multidisciplinary teams, mentor AI professionals, and foster a culture of continuous learning and improvement.
- Excellent strategic thinking, problem-solving, and analytical skills.
- Agility in managing and adapting to changing project requirements and priorities.
- Exceptional communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
- Strong business acumen and the ability to align AI efforts with organisational goals and objectives.
Disclaimer
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