Talented Machine Learning Architect

4 dni temu

Długa Kraków, Polska Clari Pełny etat
Build a Revenue Intelligence Platform

About the Team

The Engineering Team at Clari is deeply committed to crafting an enterprise-grade platform that serves as the backbone for our customer's most critical business process - Revenue. Our mission is to create the ultimate revenue intelligence platform for our customers. We foster a culture of adaptability and efficiency across all our teams.

About the Role

We are seeking a talented Staff Machine Learning Platform Engineer who is passionate about solving complex problems and advancing AI/ML platforms. You will collaborate with motivated colleagues on challenging, enterprise-scale projects, ensuring high-quality and reliable solutions.

You will be responsible for defining and developing our ML platform, frameworks for generative AI-powered applications, and ML data pipelines. These systems will drive key capabilities, including metric forecasting, insights from conversational intelligence leveraging LLMs, and ML tools that enhance sales workflows.

You'll engage in the entire lifecycle—from ideation and experimentation to productization—while monitoring model performance across hundreds of customers. The products you build will be used by many of the world's most renowned companies.

This is a hybrid position, which will require the ability to be onsite in our office as needed. Candidates must be based in Poland.

Key Responsibilities
  • Design and build ML architecture components to support large-scale data science projects
  • Manage and enhance Clari's ML platform for training and deploying AI models
  • Develop next-generation data pipelines to power Clari's AI models
  • Contribute to all aspects of the AI/ML platform
  • Become an industry expert in MLOps and data pipelines
  • Maintain post-production ownership of ML modules incorporated into the product
  • Serve as a senior technical advisor to management on machine learning and statistical methods
  • Lead or participate in the evaluation of machine learning models to determine their suitability for specific analytics problems
  • Provide feedback on best practices and recommend necessary investments to increase the efficiency of the Data Science team
Requirements
  • 8+ years of server-side development experience
  • 4+ years of experience designing, building, and supporting machine learning platforms, services, and frameworks
  • Deep knowledge of machine learning (e.g., deep learning, ensemble methods, regression methods, time series analysis) and experience leading ML engineering projects with large-scale data
  • Proficiency in Python and standard ML frameworks such as PyTorch, TensorFlow, SageMaker, MLFlow, and Ray
  • Strong understanding of software engineering principles, including data structures and algorithms
  • Experience with LLMs and related frameworks, such as LangChain
  • Understanding of ML system architecture considerations, including performance, parallelization, robustness, and fault mitigation
  • Experience with cloud infrastructure and Terraform
  • Self-directed, self-motivated, and detail-oriented, with the ability to design proposals and analyze production issues thoroughly
  • Knowledge of SQL and NoSQL databases; familiarity with Java and Scala is a plus
  • Experience with streaming frameworks such as Kafka is a plus
  • Familiarity with LLM evaluation tools like LangSmith is preferred
  • Knowledge of DataLake architectures is preferred
  • Experience with service-oriented architecture and APIs is preferred
Benefits
  • Team-bonding activities and company-wide events
  • Flexible working hours and remote opportunities
  • Annual Well-being and Professional Development Stipends
  • Private Healthcare and Multisport Pass
  • Paid maternity and paternity leave
  • Stock options

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