Machine Learning Engineer

1 miesiąc temu


Krakow, Polska Clari Pełny etat

About the Team
The Engineering Team at Clari is deeply committed to building an enterprise-grade platform that serves as the backbone for our customer's most critical business process - Revenue. With an unrelenting commitment to innovation, our mission is to craft the ultimate revenue intelligence platform for our customers. Rooted in Agile principles, we foster a culture of adaptability and efficiency across all our teams. If you're energized by the prospect of contributing to a dynamic environment that emphasizes collaboration, continuous improvement, and leveraging the forefront of technology to address customer needs, we would love to meet you.

About the Role
We are looking for a talented Staff Machine Learning Engineer who is passionate about solving complex problems and delivering products to our customers. You’ll be part of a new team of talented and driven colleagues on a diverse set of complex problems related to sales engagement.

This team will develop data-driven and ML solutions to power our sales engagement platform (think email sequencing, AI-generated email responses, next-best action modeling). This will be done using some of the cutting edge technologies we are using at Clari (Ray, LLMs, langchain, …), plus whatever approaches + frameworks you decide on.

The products you build will be used by many of the most well-known companies in the world.

This is a hybrid opportunity based in Kraków, Poland. Candidates must be based in Poland.

Responsibilities
Research and develop new machine-learning algorithms and models
Implement and test machine learning models in production environments
Provide technical guidance and mentorship to junior engineers and data scientists
Participate in the development and implementation of best practices for machine learning engineering
Collaborate with data scientists and software engineers to integrate machine learning models into applications
Work closely with our product team to understand key customer problems and build software that solves those problems
Continuously monitor and improve the performance of machine learning models
Stay up-to-date with the latest developments in machine learning and artificial intelligence

Qualifications
experience in developing and implementing machine learning models and algorithms in production environments
Strong programming skills in Python and experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
Experience with distributed data processing frameworks such as Spark, Ray, etc.
Ability to communicate technical findings based on complex quantitative analysis in a clear, precise and actionable manner
Knowledge of analysis tools and packages such as NumPy and SciPy
Experience with end-to-end ownership of ML features,  including productization, continuous performance monitoring, and on-going improvements
Knowledge of SQL (e.g. Postgres, MySQL) and NoSQL databases (e.g. MongoDB)
Experience working within a distributed organization with a worldwide presence is a plus
Experience with multi-threading and replication concepts in cloud applications is a plus
Experience working with streaming frameworks such as Kafka, Kinesis is a plus
Experience managing the model lifecycle with tools like SageMaker or MLflow is a plus
K8S familiarity is a plus

Perks and Benefits @ Clari
Team-bonding activities and company-wide events
Flexible working hours
Annual Well-being and Professional Development Stipends
Private Healthcare and Multisport Pass
Paid maternity and paternity leave
Stock options



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