Junior AI and Data Science Specialist
2 tygodni temu
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
Your Role and Responsibilities
- The Junior AI & Data Science Specialist is a team member in AI projects.
- They will train ML models, develop applications, and deploy them in IBM Cloud and/or on-premise.
- They will design AI application to perform business analyses in selected areas.
- Working with the country management team to define priorities, the Junior AI & Data Science Specialist is responsible for learning IBM technologies and their practical applications in different business domains.
- The Junior AI & Data Science Specialist is responsible for maintaining good and professional relationships with mentors and other experts at IBM.
- They will become IBM Student Ambassadors, being responsible for presenting projects, technologies, and promoting IBM programs during meetings with students at their universities.
- Finally, they will work with their managers and mentors to communicate, report and present outcomes of the projects in a timely manner.
- Fluency in English
- Bachelor's Degree (MS is a plus), ideally in IT (alternatively, active studies at a Technical University)
- Proven experience of a successful teamwork project (preferably in AI and Data Science)
- Experience in building ML models
- Good knowledge of application development cycle
- General knowledge of key IT technologies (computer architecture, network protocols, web technologies etc.)
- Ability to adapt to changing requirements, priorities, and timelines ,and adjust implementation plans accordingly.
- Strong analytical skills, able to derive meaningful insights from data and to present them in a clear and actionable form
- Good communication skills to effectively communicate with stakeholders, including top management
- Ability to effectively plan and facilitate multi-disciplinary meetings and workgroups
- Proficient in Python, R, Jupyter notebooks and at least one more programming language
- Experience in building AI models
- Expertise in data analysis process
- Expertise in data visualization
- Successful development projects
- In depth understanding of AI applications in Business
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