Senior AI/ML Engineer

We are looking for a highly motivated Senior AI/ML Engineer to join our growing AI Center of Excellence, responsible for using AI and machine learning to drive innovation across the organization.

Your responsibilities will include (but will not be limited to):

• Leverage data to solve business problems of various business units at EcoVadis

• Design, develop, deploy and maintain scalable AI/ML systems

• Design AI/ML pipelines by applying the best practices in MLOps / LLMOps / AgentOps

• Build AI/ML engineering infrastructure and systems to orchestrate batch and real-time pipelines

• Run large-scale experiments and tests to ensure quality and efficiency of ML and data pipelines

• Partner with scientists and engineers to make AI/ML models accessible to end-users and downstream processes

• Leverage Python, MLflow,  Azure stack (e.g., Azure cloud, Azure ML, Azure Foundry) and Databricks to deliver end-to-end solutions

You have an outgoing personality along with an exceptional level of drive and a desire to pursue a career in an international and dynamic environment. You also possess excellent verbal and written communication, critical thinking and analytical skills. 

• Degree in Computer Science, Mathematics, Engineering, or a related technical discipline

• Industry experience in driving, designing and implementing production-grade AI/ML systems and integrating those into business applications as well as model monitoring at scale

• Strong programming skills in Python and related ML libraries

• Strong experience of AI/ML lifecycle, principles, and MLOps / LLMOps / AgentOps tooling (e.g., MLflow, LangChain, VectorDBs, Evaluation frameworks, etc) 

• Experience in cloud technology, preferably Azure and its ecosystem (e.g., Azure Foundry, Azure Bicep, AzureML and Azure Cloud Storage) and Databricks

• Solid understanding of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations

• Experience with REST API for ML model serving 

• Experience with Docker and container orchestration

• Experience with relational and non-relational databases

• Experience in cross-functional collaboration in the development of AI/ML products and services (e.g., Engineers, Product Managers) 

• Contribution to open-source libraries is a plus

• Offer available only for candidates eligible to work and live in Poland

• Location: Hybrid in Warsaw (4 days per month in the office) / Full remote from Poland

 

In return for your expertise, we offer:

• Support with all the necessary office and IT equipment

• Flexible working hours

• Wellness allowance for mental and physical wellbeing

• Access to professional mental health support

• Referral bonus policy

• Learning and development 

• Sustainability events and community involvement

• Peer recognition program

• Employee-led resource groups

• Optional (fully covered or co-financed) health care and life insurance

• Multisport card

• Multikafeteria

• Lunch card

• Hybrid work organization

• Remote work from abroad policy

• Internet and Electricity bill allowance

• Additional day for community service when volunteering

Our hiring team looks forward to reviewing your CV, in English, with a guaranteed response to every application. A new job with purpose awaits you!

Don’t fit all the criteria but still think you’d be a good candidate? Please apply anyway to give our hiring team the opportunity to assess your skills and to learn more about what you could bring to EcoVadis. We’re interested in hiring capable people, regardless of professional and educational background.

Can the hiring process be adjusted to suit my needs? Yes. We want everyone going through the hiring process with EcoVadis to feel confident that you are able to demonstrate your full potential. We welcome applications from disabled people, people with long-term health conditions, and neurodiverse candidates. If you need any adjustments, including the provision of interview questions, please let the hiring team know.

Our team’s strength comes from everyone’s uniqueness and is founded upon mutual respect. EcoVadis commits to equity, inclusion and reducing bias in our hiring processes. EcoVadis does not accept any form of discrimination based on color, national or ethnic origin, ancestry, citizenship, religion, beliefs, age, sex, gender identity, sexual orientation, neurodiversity, disability, parental status, or any other protected characteristic that makes you unique. In your application, we encourage you to remove personal information such as: photographs, marital status, number of children, religion, gender, residential postal code, university graduation date, past medical or parental leave(s) taken, nationality (instead, please state if you are legally eligible to work in the job region/country), university name (instead, please state any degrees obtained and the study major).