At a Glance
- Tasks: Design and implement advanced machine learning solutions using Oracle AI services.
- Company: Join Carbon60 Project Services, a leader in innovative tech projects.
- Benefits: Gain SC Security clearance support, flexible hours, and hands-on experience.
- Other info: Dynamic role with opportunities for professional growth in a secure environment.
- Why this job: Work on cutting-edge AI/ML projects that make a real difference.
- Qualifications: Experience with Oracle Data Science and machine learning models required.
About the Role
Carbon60 Project Services is looking for an experienced AI/ML Specialist to join on a contract basis. You will work on cutting-edge projects leveraging Oracle Cloud Infrastructure (OCI) AI services and Oracle Machine Learning (OML) to design, implement, and deploy advanced machine learning solutions in a secure environment. SC Security clearance is required prior to starting, however we will be able to assist you with gaining clearance.
Key Responsibilities
- Design and implement machine learning models using OCI AI services
- Develop solutions leveraging the OCI Data Science platform
- Implement computer vision and document understanding solutions
- Create and optimise natural language processing (NLP) applications, including LLM-based solutions
- Deploy and manage AI models in production environments
- Implement AutoML solutions for rapid prototyping and scalability
Essential Experience
- Proven experience in Oracle Data Science
- Usage of LLMs and AI Quick Actions
- Running and optimising models of varying sizes
- Implementing inferencing capabilities efficiently
- Exposure to AI agents and OCI AI services such as: OCI Language, OCI Vision, OCI Speech, OCI Document Understanding, OCI Generative AI
- Strong knowledge of OML modules and their application in real-world use cases
Locations
Part-Time Oracle AI/ML Specialist in Hampshire, Portsmouth employer: Carbon60 Project Services
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StudySmarter Expert Advice🤫
We think this is how you could land Part-Time Oracle AI/ML Specialist in Hampshire, Portsmouth
✨Get Involved in Data Challenges
Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Carbon60 Project Services.
✨Connect with Local Data Communities
Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.
✨Leverage Your University’s Resources
If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.
✨Apply Directly Through Our Website
Don’t forget to check out our jobs at Carbon60 Project Services and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.
We think you need these skills to ace Part-Time Oracle AI/ML Specialist in Hampshire, Portsmouth
Some tips for your application 🫡
Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!
Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.
Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Carbon60 Project Services aligns with your career aspirations. Show us you're excited about learning and growing with us!
Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!
How to prepare for a job interview at Carbon60 Project Services
✨Brush Up on Your Stats!
Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Carbon60 Project Services.
✨Show Off Your Projects!
It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Carbon60 Project Services.
✨Familiarise Yourself with Tools of the Trade
Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Carbon60 Project Services, so having a comfort level with these tools will definitely be an advantage.
✨Be Ready to Discuss Real-World Applications
Since this is a part-time role, employers at Carbon60 Project Services will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.
