Senior AI/ML Engineer

EcoVadis; Warszawa; Hybrid; PLN 240,000 - 360,000; Full time

Benefits offered by this job

Hybrid work in Warsaw

Wellness allowance

L&D opportunities

Health insurance

Multisport card

Lunch card

Flexible working hours

Job summary

EcoVadis is seeking a Senior AI/ML Engineer to join our growing AI Center of Excellence. You will drive innovation by building scalable AI/ML systems, pipelines, and infrastructure, enabling cross-functional teams to leverage data-driven insights.

You will work with Python, MLflow, Azure stack, and Databricks, collaborating with scientists and engineers to deploy end-to-end ML solutions in a dynamic, international environment.

Qualifications

• Degree in Computer Science, Mathematics, Engineering, or a related technical discipline.
• Experience in driving, designing and implementing production-grade AI/ML systems and integrating into business applications.
• Strong programming skills in Python and ML libraries.
• Experience with MLOps / LLMOps / AgentOps tooling and lifecycle concepts.

Responsibilities

• Leverage data to solve business problems across EcoVadis.
• Design, develop, deploy and maintain scalable AI/ML systems.
• Design AI/ML pipelines applying MLOps / LLMOps / AgentOps best practices.
• Build AI/ML engineering infrastructure to orchestrate batch and real-time pipelines.
• Run large-scale experiments to ensure quality and efficiency of ML/data pipelines.
• Partner with scientists and engineers to make AI/ML models accessible to end-users.

Skills

Communication

Critical thinking

Analytical skills

Cross-functional collaboration

Python programming

Education

Degree in Computer Science / Mathematics / Engineering

Tools

MLflow

LangChain

VectorDBs

Azure

AzureML

Databricks

Docker

Job description

Work smart, have fun and make an impact!

EcoVadis is the leading provider of business sustainability ratings. Our solutions are backed by an international team of experts and powerful technology. We analyze data and build sustainability scorecards that give companies actionable insights into their environmental, social and ethical risks.

Why apply to EcoVadis? Be a part of the global sustainability change in business. Grow your career. Work with extraordinary people. Feel valued for your contribution.

Learn more about our team and culture on EcoVadis careers page.

Job Description

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

Qualifications

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

Additional Information

• 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

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).