Job Profile:

As a Manager AI (Artificial Intelligence), your primary responsibility is to oversee and lead the development and implementation of AI initiatives within an organization. You will be responsible for driving the AI strategy, managing AI projects, and ensuring that AI technologies and solutions align with the company’s goals and objectives. Your role will involve collaborating with cross-functional teams, including data scientists, engineers, and business stakeholders, to deliver effective AI solutions.

Responsibilities:

1.Develop and execute the AI strategy: Define the organization’s AI roadmap, goals, and priorities. Identify potential AI applications and opportunities for improving business processes and customer experiences.

2.Lead AI projects: Manage end-to-end AI projects, including scoping, planning, resource allocation, and execution. Monitor project progress, identify risks and issues, and implement corrective actions to ensure successful project delivery.

3.Collaborate with stakeholders: Work closely with business leaders, product managers, and subject matter experts to understand their requirements and translate them into AI solutions. Provide guidance on the feasibility and impact of AI initiatives.

4. Manage AI teams: Recruit, mentor, and manage a team of AI professionals, including data scientists, machine learning engineers, and AI developers. Foster a collaborative and innovative work environment, and promote continuous learning and development.

5. Stay updated with AI trends and technologies: Monitor the latest advancements in AI and related fields. Evaluate emerging AI technologies, tools, and frameworks, and assess their potential impact on the organization. Make recommendations for adopting new AI solutions.

6. Ensure data quality and governance: Collaborate with data management teams to establish data quality standards, data governance frameworks, and data privacy protocols. Ensure compliance with applicable regulations, such as GDPR or CCPA.

7.Evaluate AI performance: Establish metrics and performance indicators to assess the effectiveness and efficiency of AI models and solutions. Monitor and analyze AI performance data to identify areas for improvement and optimize AI algorithms.

Tools / Skills:

1. Education: A bachelor’s or master’s degree in computer science, data science, artificial intelligence, or a related field.

2.Experience: Atleast 7+ years of experience in AI, machine learning, or data science roles, with progressively increasing responsibilities. Prior experience in a managerial or leadership position is highly desirable.

3.Technical skills: Proficiency in programming languages commonly used in AI, such as Python or R. Experience with AI frameworks and libraries, such as TensorFlow or PyTorch. Knowledge of statistical analysis, machine learning algorithms, and data modeling.

4.Business acumen: Strong understanding of business operations, processes, and strategies. Ability to align AI initiatives with organizational goals and drive tangible business outcomes.

5.Leadership and communication skills: Excellent leadership abilities with a track record of managing and motivating teams. Effective communication skills to convey complex AI concepts to non-technical stakeholders and facilitate collaboration across departments.

6.Problem-solving and analytical thinking: Strong analytical skills to identify business challenges, frame them as AI problems, and design effective solutions. Ability to think critically, evaluate alternatives, and make data-driven decisions.

7.Adaptability: AI is a rapidly evolving field, and the Manager AI role requires the ability to adapt to new technologies, methodologies, and industry trends. Willingness to continuously learn and upgrade skills is crucial.

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