Senior AI/ML Engineer

Ecovadis; Warszawa; Hybrid; PLN 260,000 - 380,000; Full time

Benefits offered by this job

Wellness allowance

Mental health support

Learning & development

Sustainability events

Employee resource groups

Health and life insurance (optional)

Job summary

EcoVadis, the leading provider of business sustainability ratings, is looking for a Senior AI/ML Engineer to join our growing AI Center of Excellence in Warsaw. You will use AI/ML to drive innovation across the organization and collaborate with cross-functional teams.

Responsibilities include designing, deploying and maintaining scalable AI/ML systems; building pipelines with MLOps/LLMOps/AgentOps; and enabling end-users and downstream processes with accessible models using Python, MLflow, Azure

Qualifications

• Degree in Computer Science, Mathematics, Engineering, or a related technical discipline.
• Industry experience in production-grade AI/ML systems and integration with business apps.
• Strong Python and ML libraries with end-to-end ML lifecycle knowledge.
• Experience with MLOps / LLMOps / AgentOps tooling (MLflow, LangChain, VectorDBs, eval frameworks).
• Cloud experience in Azure and Databricks; Docker and containers.

Responsibilities

• Leverage data to solve business problems across EcoVadis business units.
• 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 model quality and efficiency.
• Collaborate with scientists and engineers to expose models to end-users and downstream processes.
• Utilize Python, MLflow, Azure stack and Databricks to deliver end-to-end solutions.

Skills

Python

MLflow

LangChain

VectorDBs

REST API

Docker

Azure

Databricks

Cross-functional

Communication

Education

Bachelor's degree in Computer Science/Math/Engineering

Tools

Azure Stack

ML tooling

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.

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 (2days per weekin the office) / Full remote from Poland

In return for your expertise, we offer:

Support with all the necessary office and IT equipment

Wellness allowance for mental and physical wellbeing

Access to professional mental health support

Learning and development

Sustainability events and community involvement

Employee-led resource groups

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

Multisport card

Multikafeteria

Lunch card

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).