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
Qualifications
- 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
Perks and Benefits @ Clari
- 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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