AI Solutions Engineer
hace 21 horas
About Bdeo Spain
We're on a mission to transform the insurance world with cutting-edge Visual Intelligence tech Our fast-paced, agile teams are at the forefront of innovation, building game-changing products that shake up the industry Tech is our superpower, and our teams are packed with talented, driven professionals from across the globe, all working together to tackle complex challenges and push boundaries with AI-driven solutions.
About the Role
As an AI Solutions Engineer at Bdeo Spain, you'll play a critical role in our data team Bridging the gap between data science research and the delivery of product features Implementing robust data solutions, optimizing pipelines, and ensuring seamless integration of AI models into production environments Working with a product-oriented agile squad, focusing on designing, implementing, and deploying new and innovative AI solutions Collaborating with talented people from different backgrounds, such as data scientists, MLops engineers, analytics engineers, product managers, software engineers, and QA engineers Promoting knowledge sharing and best practices across the team.
Your Responsibilities
- Develop and maintain data solutions: Build and optimize data pipelines to fulfill product delivery needs Performance optimization: Refactor and optimize Python code to improve efficiency and scalability of existing workflows Tooling and automation: Create internal tools to support the delivery of features related to data science Data management: Collaborate on data cleaning, transformation, and structuring to enable advanced analytics Model integration: Work closely with data scientists to test and integrate machine learning models into production Cross-team collaboration: Work with MLOps engineers to improve CI/CD pipelines for machine learning applications and ensure robust monitoring of deployed systems.
What We're Looking For
- 1+ years of professional experience in Python development Proficiency in Python with a strong focus on writing clean, efficient, and maintainable code Experience in data pipelines: ETL and data workflow orchestration Cloud expertise: Familiarity with cloud platforms like AWS, GCP, or Azure Frameworks & libraries: Working knowledge of Pandas, NumPy, and similar libraries Basic ML knowledge: Understanding of machine learning lifecycle and concepts to collaborate effectively with data scientists Database skills: Experience with relational (e.g., PostgreSQL) and NoSQL (e.g., DynamoDB, MongoDB) databases Problem-solving: Strong analytical skills and the ability to debug and solve complex technical challenges Eager to keep improving yourself with the latest technologies Fluent in English written and spoken Nice to have: Industry experience working on machine learning Experience with LLMs for assistance and automation of tasks Product-oriented and proactive mindset to propose and implement new solutions.
Salary Range
$80,000 - $110,000 per year, depending on experience.
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