Exciting Opportunity in Generative AI – $60,000 – Remote

Company Overview:

Join a leading consultancy that partners with Microsoft to offer cutting-edge data and AI solutions. With a strong focus on advanced data analytics and tailored financial solutions, our client is dedicated to meeting the diverse needs of businesses across various industries. They prioritize employee well-being, cultivating a positive work culture that significantly enhances morale and productivity. The position offers incredible flexibility, allowing you to work primarily from home, making it easier to achieve a healthy work-life balance. With ambitious plans for expanding their Data & AI team backed by venture capital, the potential for growth is tremendous!

Role Overview:

Our client is on the lookout for a skilled Data/ML Engineer to serve as a consultant on a wide array of exciting projects that span multiple sectors. You will leverage the latest advancements in AI technologies, including Generative AI, Machine Learning, and Open AI. In this consultant role, you will collaborate directly with clients, gaining insights into their business challenges and implementing top-notch AI solutions that adhere to industry best practices.

Requirements:

• Proficiency in Python, particularly for AI and Machine Learning applications
• Familiarity with cloud technologies, with a preference for Azure
• Solid experience in Data Science, Machine Learning, and AI technologies

Benefits:

• Annual bonus potential of 10%
• Flexible remote work arrangements
• 25 days of annual leave plus bank holidays
• Regular salary reviews
• And many more perks!

This is an extraordinary opportunity to develop your skills and advance your career with a prestigious Microsoft partner. With interviews underway, don’t let this chance slip away. Apply now!

Contact – (url removed) (phone number removed)

Keywords: Machine Learning, AI, Artificial Intelligence, Data Science, Azure, ADF, Data Engineer, Azure Data Factory, Data Consultant, Consultancy, Microsoft, API, D365, Data Architect, Pre-Sales, Consultant