EcoVadis

Senior AI/ML Engineer

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SeniorZdalnie·WarszawaFull-time

#459679·Dodano 17 dni temu·4

Źródło: EcoVadis

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Tech Stack / Keywords

Python MLflow Azure LangChain Docker Databricks REST APIMLOpsLLMOpsAgentOps

Firma i stanowisko

EcoVadis is the leading provider of business sustainability ratings. The company analyzes data and builds sustainability scorecards that give companies actionable insights into their environmental, social and ethical risks.

Wymagania

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

Obowiązki

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 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

Benefity

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 opportunities
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

Elastyczne godziny

Karta sportowa

Opieka zdrowotna

Premie

Inne informacje

Offer available only for candidates eligible to work and live in Poland. Location: Hybrid in Warsaw (2 days per week in the office) / Full remote from Poland. EcoVadis commits to equity, inclusion, and reducing bias in hiring processes. The company does not accept any form of discrimination based on protected characteristics. Applicants are encouraged to remove personal information that could reveal such characteristics and to state legal eligibility to work in the region/country.

EcoVadis

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