AI Solution Engineer

ABOUT THE POSITION

We are looking for an experienced AI Solution Engineer to join our growing team and help design and deploy robust AI software solutions for our clients. You will lead and deliver high-impact AI projects in collaboration with renowned clients in the European industry. You will work hands-on with multi-modal datasets build predictive models and develop AI-driven products to support operations and gain efficiencies across business units. Your role will combine hands-on technical exposure with scientific curiosity and business relevance: from extracting insights from client interactions to building robust AI architectures which incorporate state-of-art technology and best practices to deliver client solutions. This is more than a job its an opportunity to help shape the future of our company and drive innovation.

ABOUT SPHERE ENERGY

We are a young dynamic and technology-driven company committed to developing targeted AI-driven solutions that revolutionize the development of products in the broad field of engineering.

Tasks

KEY RESPONSIBILITIES

• Develop scalable AI-driven software solutions and design end-to-end systems that integrate seamlessly with enterprise data and cloud infrastructure.
• Establish MLOps standards and reusable pipelines ensuring clean maintainable code for model training deployment and monitoring.
• Translate complex business requirements into technical blueprints bridging the gap between data science exploration and production engineering.
• Advise stakeholders on technical strategy clearly communicating architectural tradeoffs regarding cost latency and performance.

Requirements

QUALIFICATIONS

• Masters in Computer Science Data Science Machine Learning or a related field with experience in designing enterprise-scale AI solutions.
• Deep architectural expertise across AI domainsspecifically within Generative AI Computer Vision or complex predictive modeling.
• Advanced proficiency in Python and modern AI frameworks (PyTorch TensorFlow) with a strong command of software design patterns microservices architecture and API design.
• Expertise in designing robust MLOps ecosystems including defining standards for CI/CD model governance security compliance and infrastructure orchestration on cloud platforms (AWS GCP Azure).
• Ability to define and execute technical roadmaps paired with the experience mentoring engineering teams conducting code/design reviews and enforcing engineering excellence.
• Expert at balancing critical architectural tradeoffs including inference latency scalability data privacy and total cost of ownership.

Benefits

WHAT WE OFFER

• The opportunity to drive leading technology solutions in real-world applications
• A high-impact client-facing role with real responsibility and room for initiative
• A collaborative and dynamic work environment that values vision and impact
• Opportunity to actively contribute to a young companys growth
• Flexible working hours and hybrid work models

HOW TO APPLY

If youre excited to shape the future of battery technology and drive real change with leading industry players please share your resume and an additional cover letter.

Key Skills
Sales Experience,ADAS,Customer Service,AI,Computer Skills,Retail Sales,Product Demos,Automotive Diagnostics,Automotive Repair,Business requirements,Cash Handling,Enterprise Sales
Employment Type : Employee
Experience: years
Vacancy: 1