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Assist in designing and optimizing AI strategies as per stakeholder requirements.
Design and implement machine learning solutions to analyze complex datasets and derive actionable insights.
Utilize LLMs, GenAI, machine learning, NLP, and predictive analytics where applicable.
Collect, clean, and preprocess various datasets.
Enhance data-driven methodologies for transformative projects.
Learn to work with cloud platforms for scalable AI solutions.
Follow IBM standards for data science and development.
Incorporate ML Ops and ethical considerations in AI.
Strategic Planning:
Transform business requirements into technical strategies that align with stakeholder objectives.
Analyze business problems to devise effective solutions.
Collaborate with stakeholders and prioritize project tasks accordingly.
Project Management & Delivering Results:
Manage different stages of AI and data science projects, from data exploration to model deployment.
Employ agile strategies for efficient project execution.
Monitor timelines and assist in resolving technical challenges.
Create frameworks to evaluate AI solutions and their business impact.
Communication & Collaboration:
Regularly communicate findings to both technical and non-technical stakeholders.
Design compelling visualizations and dashboards to present data insights.
Collaborate with data engineers and developers to integrate AI solutions seamlessly.
Required Technical and Professional Skills Education:
Pursuing a Bachelor's degree in Computer Science, Data Science, Statistics, Economics, or a related field. Experience:
Familiarity with AI/ML technologies and statistical modeling through coursework or previous roles. Technical Skills: Strong proficiency in SQL and Python for data analysis and model development.
Hands-on experience with machine learning algorithms and frameworks.
Knowledge of cloud platforms and data processing tools.
Experience using large language models (LLMs).
Familiarity with Python libraries used in data science (e.g., NumPy, Pandas, scikit-learn).
Experience with AI-powered tools for accelerated development.
Strategic and Analytical Skills: Strong strategic thinking and business awareness.
Excellent problem-solving skills with a strong desire to learn.
Detail-oriented with the ability to extract insights from data.
Communication and Soft Skills: Exceptional communication ability to articulate technical concepts clearly.
A blend of independence and teamwork skills.
Commitment to ethical AI principles.
Adaptable to fast-paced work environments and eager to learn new technologies.
Ability to manage multiple priorities and meet deadlines effectively.
IBM is dedicated to fostering a diverse workplace and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, gender, sexuality, national origin, or any other characteristic. IBM is also committed to fair employment practices and compliance with citizenship and immigration laws.
Sprachkenntnisse
- English
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