Senior AI/ML Engineer

This is a fully remote position, open to applicants in Poland.

📋 Description

• Utilize data to address business challenges across different EcoVadis business units.

• Design, develop, implement, and sustain scalable AI/ML systems.

• Create AI/ML pipelines by applying best practices in MLOps, LLMOps, and AgentOps.

• Construct AI/ML engineering infrastructure and systems to manage both batch and real-time pipelines.

• Conduct large-scale experiments and tests to guarantee the quality and efficiency of ML and data pipelines.

• Collaborate with scientists and engineers to make AI/ML models accessible to end-users and subsequent processes.

• Employ Python, MLflow, Azure stack, and Databricks to provide comprehensive solutions.

• Join the AI Center of Excellence to promote AI/ML innovation throughout the organization.

⛳️ Requirements

• Bachelor's degree in Computer Science, Mathematics, Engineering, or a related technical field.

• Professional experience in driving, designing, and implementing production-grade AI/ML systems and integrating them into business applications.

• Experience with model monitoring at scale.

• Proficient programming skills in Python and associated ML libraries.

• Extensive knowledge of the AI/ML lifecycle, principles, and MLOps / LLMOps / AgentOps tools, including MLflow, LangChain, VectorDBs, and evaluation frameworks.

• Familiarity with cloud technologies, preferably Azure and its ecosystem, including Azure Foundry, Azure Bicep, AzureML, and Azure Cloud Storage.

• Practical experience with Databricks.

• Strong understanding of software engineering best practices throughout the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.

• Experience with REST APIs for ML model serving.

• Knowledge of Docker and container orchestration.

• Experience with both relational and non-relational databases.

• Proven ability to collaborate across functions in the development of AI/ML products and services.

• Excellent verbal and written communication skills, along with critical thinking and analytical capabilities.

• Candidates must be eligible to work and reside in Poland.

• CV must be submitted in English.

• Contributions to open-source libraries are advantageous.

🏝️ Benefits

• Provision of all necessary office and IT equipment.

• Flexible working hours.

• Wellness allowance for mental and physical health.

• Access to professional mental health support.

• Referral bonus policy.

• Opportunities for learning and development.

• Participation in sustainability events and community engagement.

• Peer recognition program.

• Employee-led resource groups.

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

• Multisport card.

• Multikafeteria.

• Lunch card.

• Hybrid work organization.

• Remote work policy for working abroad.

• Internet and electricity bill allowance.

• Additional day off for community service when volunteering.