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- Tasks: Collaborate with sales to implement AI solutions in healthcare, tackling complex data challenges.
- Company: Join Datasumi, a health-tech innovator transforming healthcare through AI technology.
- Benefits: Enjoy a full-time role with opportunities for growth and impactful work in a dynamic environment.
- Why this job: Be part of a mission-driven team making a real difference in healthcare with cutting-edge AI.
- Qualifications: 2+ years in healthcare solutions architecture, strong Python skills, and a relevant degree required.
- Other info: Work on multiple projects simultaneously and engage with both technical and business stakeholders.
The predicted salary is between 36000 - 60000 £ per year.
Datasumi Manchester, England, United Kingdom AI Solutions Engineer At Datasumi Ltd, we\’re looking for an exceptional AI Solutions Engineer to join our health-tech client\’s growing team. About The Role You\’ll collaborate with our sales teams to help healthcare customers achieve twice the impact in half the time through AI implementation. With your technical expertise and customer-facing skills, you\’ll solve complex healthcare data challenges that clients don\’t always see themselves. What You\’ll Do Healthcare AI Solutions Development: Create and present workflow implementations combining prompt engineering, data ingestion pipelines, and format conversions for healthcare-specific challenges including medical imaging recognition, healthcare document processing, and clinical product development. Technical Integrations: Work with our product team to integrate new healthcare-compatible models and ML-Ops tools. Marketplace Deployment: Develop and maintain integrations with major cloud marketplaces, ensuring healthcare customers can securely deploy on their preferred cloud platforms. Multi-Project Management: Skillfully balance up to 5 simultaneous healthcare projects with tight deadlines. Who You Are Experience delivering Large Language Model projects in healthcare settings, including LLM API integration, up-to-date knowledge of foundation models, SFT, prompt engineering, RAG, and measuring AI accuracy in clinical environments. 2+ years in solutions architecture or integrating multiple applications/data streams in healthcare, or ML development in customer-facing healthcare roles. Intermediate Python skills with exposure to healthcare data processing. Degree in computer science, engineering, mathematics or related fields. Strong ability to develop and communicate AI solution visions to both technical and business stakeholders in healthcare organizations. Experience in fast-paced healthcare SaaS environments during high-growth phases. Preferred: Expertise with langchain and similar tools for multimodal healthcare AI projects. Interview Process Initial screen with Recruiter. Technical assessment. Peer interview. Hiring Manager interview. Apply now to help shape the future of AI in healthcare! Seniority Level Mid-Senior level Employment Type Full-time Job Function Consulting Industries IT Services and IT Consulting #J-18808-Ljbffr
AI Solutions Engineer employer: Datasumi
Contact Detail:
Datasumi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Solutions Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and healthcare technology. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Prepare to showcase your experience with Large Language Models (LLMs) and how you've applied them in healthcare settings. Be ready to discuss specific projects where you integrated LLMs and the impact they had on the outcomes.
✨Tip Number 3
Brush up on your Python skills, especially in relation to healthcare data processing. You might be asked to solve a technical problem or discuss your approach to coding during the technical assessment.
✨Tip Number 4
Practice explaining complex AI concepts in simple terms. Since you'll be communicating with both technical and business stakeholders, being able to convey your ideas clearly will set you apart from other candidates.
We think you need these skills to ace AI Solutions Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the AI Solutions Engineer position at Datasumi. Tailor your application to highlight relevant experiences that align with their needs.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with Large Language Model projects in healthcare settings. Be specific about your technical skills, such as Python proficiency and any relevant tools like langchain.
Showcase Problem-Solving Skills: Demonstrate your ability to solve complex healthcare data challenges in your application. Provide examples of past projects where you successfully implemented AI solutions or integrated multiple applications.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also conveys your passion for AI in healthcare. Discuss how you can contribute to the company's mission of improving healthcare outcomes through technology.
How to prepare for a job interview at Datasumi
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Large Language Models and how you've integrated them in healthcare settings. Highlight specific projects where you've tackled complex data challenges, as this will demonstrate your capability to handle the technical aspects of the role.
✨Communicate Clearly with Stakeholders
Since you'll be working with both technical and business stakeholders, practice explaining your AI solutions in simple terms. Use examples from your past experiences to illustrate how you've successfully communicated complex ideas to non-technical audiences.
✨Demonstrate Multi-Project Management Skills
Prepare to discuss how you manage multiple projects simultaneously, especially under tight deadlines. Share specific strategies or tools you use to stay organised and ensure timely delivery, as this is crucial for the role.
✨Familiarise Yourself with Healthcare-Specific Challenges
Research common challenges in healthcare AI, such as medical imaging recognition and document processing. Being knowledgeable about these issues will allow you to engage in meaningful discussions during the interview and show your genuine interest in the field.
