Senior AI/ML Engineer

Posted 5 Days Ago
Be an Early Applicant
Hiring Remotely in Warsaw, Warszawa, Masovian, POL
In-Office or Remote
Senior level
Other
The Role
Design, build, deploy, and maintain scalable AI/ML systems and pipelines. Implement MLOps/LLMOps/AgentOps practices, run large-scale experiments, enable model serving and monitoring, and collaborate cross-functionally to integrate ML into business applications.
Summary Generated by Built In
Company 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

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).

Skills Required

  • Degree in Computer Science, Mathematics, Engineering, or related technical discipline
  • Industry experience designing and implementing production-grade AI/ML systems and model monitoring at scale
  • Strong programming skills in Python and related ML libraries
  • Strong experience with AI/ML lifecycle and MLOps / LLMOps / AgentOps tooling (e.g., MLflow, LangChain, VectorDBs, Evaluation frameworks)
  • Experience in cloud technology (preferably Azure ecosystem including Azure ML, Azure Foundry, Azure Bicep, Azure Cloud Storage) and Databricks
  • Solid understanding of software engineering best practices across the development lifecycle (agile, code reviews, testing, source management)
  • Experience with REST APIs for ML model serving
  • Experience with Docker and container orchestration
  • Experience with relational and non-relational databases
  • Experience in cross-functional collaboration with engineers and product managers
  • Outgoing personality with excellent verbal and written communication, critical thinking and analytical skills
  • Eligible to work and live in Poland
  • Contribution to open-source libraries

EcoVadis Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EcoVadis and has not been reviewed or approved by EcoVadis.

  • Healthcare Strength Health coverage is characterized as comprehensive, with multiple medical options plus dental, vision, and life and disability insurance. Some accounts indicate a company‑paid employee premium option in certain cases.
  • Flexible Benefits Work arrangements are flexible with hybrid/remote options and employer support for home‑office setup. This flexibility is cited as a meaningful component of the overall package.
  • Leave & Time Off Breadth Time off includes PTO along with separate sick and personal days. Volunteering time is also available as part of purpose‑driven benefits.

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The Company
HQ: Paris
1,296 Employees
Year Founded: 2007

What We Do

EcoVadis is the world's most trusted provider of business sustainability ratings. Global supply chains, financial institutions, and public organizations rely on EcoVadis to monitor and improve the sustainability performance of their business and trading partners. Backed by a powerful technology platform, EcoVadis’ evidence-based ratings are validated by a global team of experts, and are adapted to more than 200 industry categories, 160 countries, and companies of all sizes. Its actionable scorecards provide benchmarks, insights, and a guided improvement journey for environmental, social and ethical practices. Industry leaders such as Amazon, Johnson & Johnson, L’Oréal, Unilever, LVMH, Salesforce, Bridgestone, BASF, and ING Group are among the 90,000 businesses that collaborate with EcoVadis to drive resilience, sustainable growth and positive impact worldwide. Discover what life at EcoVadis looks like: linkedin.com/showcase/life-at-ecovadis & check our latest job opportunities: ecovadis.com/careers.

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