Machine Learning Engineer Volunteer (Open For Students)

✦This is a free unique volunteer opportunity for students/fresh graduates/anyone who switches careers to volunteer with a British Tech Company in order to build real-world experience and skills toward a career as an Curriculum Developer Officer in Future.

About SkilledUp Life

At SkilledUp Life, we provide free volunteer opportunities to individuals by pairing them with British Tech Companies. We help them build work experience and improve their career prospects. We currently have over 36,000+ volunteers from over 100+ countries who have utilized SkilledUp Life to build work experience, and skills and land their dream job.

Details About opportunity

People in the Information and Technology teams have a complete knowledge of computer software, hardware, and networks. They will be responsible for designing, organizing, modifying, and supporting our company’s IT infrastructure.

Machine Learning Engineers build and prioritize backlog for future machine-learning enabled features to support client business processes. They are working with leadership to identify AI opportunities and promote strategy.

What you will do:

Collaborating with teams to develop and architect AI solutions using ML and GenAI. Developing and promoting standards across the community.

Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using open-source technologies.

Key Responsibilities

Working with our teams, your volunteer role includes:

• Design and deploy complex, optimized and large-scale machine learning algorithms and generative models to improve customers’ experiences.
• Use Natural Language Processing to research speech and text data and to build chatbot and recommender systems.
• Regularly invent new and novel approaches to problems; take initiative and breakdown barriers to solve problems; become recognized within the team as the source of solutions.
• Implement existing Large Language Models such as GPT, LLaMA, LaMDA, etc.
• Discover and formulate business problems and create data science solutions.
• Drive the collection of new data and the refinement of existing data.
• Work closely with product managers to identify and answer important product questions that help improve outcomes.
• Research and interpret the results of product experiments.
• Communicate findings to product managers and development groups.
• Develop prototypes for new data product ideas.
• Refine Large Language Models via prompt engineering, fine-tuning, reinforcement learning, or transfer learning.

Education and experience

–High School Diploma or equivalent (preferred)

–Experience in ML/AI.

–Knowledge in consumer electronics and the retail environment (preferred)

–Specialized practical experience in Generative AI

–Adept in Natural Language Processing tasks

–Prior experience in applying machine learning for customer experience use case

–Experience using Python and working with large scale systems.

Skills and requirements

• Interest in technology and the ability to quickly learn new products and features.
• Master’s degree or similar education in Machine Learning, Artificial Intelligence.
• Self-starter with a strong commitment to driving results.
• Enthusiastic, initiative-taking, and outgoing personality that is comfortable in a competitive environment.
• Professional demeanor, excellent verbal, and written communication skills.
• Access to a smartphone (iPhone or Android).
• Excellent communication skills.
• Excellent record keeping.
• Fluent in English

Acquired Skills

Learning tools and instruments that ML/AI world requires from you: complex and statistical data.

More about the opportunity

This opportunity is suited for a mid-level or seasoned professional with ML/AI experience who focus on technology. Our company evolves on a niche market; thus, knowledge management on the Virtual Reality and 3D sectors is preferred.

The company will provide everything related to guides/sales/marketing material or proposal.

Endorsements

Once a satisfactory outcome is delivered, we will:

Provide a testimonial against your profile on SkilledUp Life.

Provide a LinkedIn testimonial.

Allow you to add Company Name to your LinkedIn Profile.

About Applying:

Please note that if your LinkedIn Application is accepted, you would need to apply through the SkilledUp Life platform (free). You will be guided through that process once your LinkedIn Application is processed.

Disclaimer

This is a voluntary position, i.e., there is no direct financial compensation, promise of future paid work or any taxable benefit in kind.