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Senior Machine Learning Engineer
hace 2 semanas
About the role:
- Kindred's goal is to become the most data-driven company in the gambling industry.
- We have heavily invested in enhancing our data and analytics capabilities.
- We are now focusing on developing end-to-end machine learning data products, bridging the gap between Data Scientists' research and Machine Learning Engineers' product applications.
- Our Machine Learning Engineers collaborate closely with Data Scientists in cross-functional teams to deliver high-quality data products.
- Current areas of focus include personalization, relevancy, and product risk management.
- We are also working on building essential tools for our product teams to scale efficiently and iterate quickly, such as Model as a Service deployment platform, feature store development, and product monitoring tools.
About you:
We believe that to excel in this role, you should have:
- 3-5 years of relevant commercial experience.
- Experience collaborating with Data Scientists.
- A track record of delivering ML products.
- Proficiency in deploying models as batch, streams, and services.
- Strong Java skills.
- Experience deploying containerized applications on Kubernetes.
- Expertise in using Kafka (including Kafka Streams) and Spark.
- Proficiency in Terraform, ML Operations (MLOps) tools, AirFlow, MLFlow, and AWS cloud computing.
- A strong interest in personal development and excellent interpersonal skills to work effectively in cross-functional teams.
- Ability to handle uncertainty, learn iteratively, and take a proactive approach.
It would also be beneficial if you have:
- Knowledge of enterprise data concepts like Data Mesh, statistical modeling, and machine learning methodologies.
- AWS certification and a passion for mentoring junior team members.
Company:
Kindred
Qualifications:
Language requirements: Specific requirements:
Educational level:
Level of experience (years): Senior (5+ years of experience)
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