Senior AI/ML Engineer
Primary stack
Nice to have's
Job description
About the Position
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):
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Leverage data to solve business problems of various business units at EcoVadis
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Design, develop, deploy and maintain scalable AI/ML systems
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Design AI/ML pipelines by applying the best practices in MLOps / LLMOps / AgentOps
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Build AI/ML engineering infrastructure and systems to orchestrate batch and real-time pipelines
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Run large-scale experiments and tests to ensure quality and efficiency of ML and data pipelines
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Partner with scientists and engineers to make AI/ML models accessible to end-users and downstream processes
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Leverage Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Foundry) and Databricks to deliver end-to-end solutions
Responsibilities
- 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
Requirements
- 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)
Nice to Have
- Contribution to open-source libraries is a plus
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
About the Company
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.
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
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).
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© EcoVadis Polska Sp. z o. o.. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Food & Beverage,Automotive,Finance,Pharmaceutical,Consumer Goods
About the Company EcoVadis envisions a global marketplace where sustainability intelligence influences every business decision, improving economies, people's lives, and the planet. The company provides a connected system built on a global standard for measuring and understanding sustainability performance across supply chains. EcoVadis is trusted by industry leaders and operates in over 180 countries and 230 industries. Products, Services & Tech Stack Core Solutions: Sustainability Intelligence Platform: Combines advanced AI with expert methodology to provide trusted, comparable sustainability ratings. Supply Chain Risk Management: Utilizes a large sustainability intelligence dataset to map and manage risks. Continuous Improvement Tools: Includes actionable improvement plans, e-learning tools, and AI-assisted monitoring. Technologies & Frameworks: AI: Advanced AI algorithms for data analysis and sustainability assessment. Methodology: Aligned with UN Global Compact, GRI, and ISO 26000 standards. Platform: A connected system for assessing and monitoring sustainability performance. Project Scope & Target Clients Client Base: Industries Served: Food & Beverage, Automotive, Finance, Pharmaceutical, Consumer Goods, Electronics, Beauty, Retail, Energy & Utilities, Manufacturing & Machinery. Client Types: Global leaders and enterprises focused on sustainability and ESG (Environmental, Social, and Governance) criteria. Engineering Scale: Data Processing: Analyzes 3 million documents monthly and monitors 400,000 sources. Languages: Processes data in 8 languages. Expert Validation: Over 500 in-house sustainability analysts review and verify assessments.
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