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Reltio, Trusted Data Foundation for Your Business Outcomes
About Reltio
At Reltio, we’re on a mission to facilitate digital transformation by providing a singular, reliable source of enterprise data constructed for the digital experience economy. We disrupted the master data management (MDM) software market when we introduced the first cloud-native MDM software-as-a-service (SaaS) platform. The Reltio Connected Data Platform uses a cloud-native multi-tenant architecture and our ecosystem to deliver speed, agility and flexibility on a large scale. Businesses across various industries depend on Reltio for reliable, secure, real-time data to create omni channel experiences for their customers, partners and employees.
We’ve received numerous awards and high rankings for our technological innovation, company culture and our team. Reltio was established based on a distributed workforce model and offers flexible working arrangements to help our employees balance their personal and professional lives. So, if you’re ready to work on unparalleled technology as part of a collaborative team, on a mission to enable digital transformation with connected data, let’s discuss further.
Reltio’s Focus:
At Reltio, you'll contribute to facilitating digital transformation by offering a sound source of truth via enterprise data designed for the digital experience economy. We aim to improve people’s lives globally by delivering clear, reliable data that enables digital transformation. We take advantage of a cloud-native multi-tenant architectural design and our ecosystem to provide speed, agility and flexibility on a large scale. We are proud of our open, leadership-oriented and merit-based company culture and have made it to the Fortune 100 best companies to work for.
Reltio’s values:
- Our customers and partners are people, not companies
- Better Together
- Simplify and Share
- Own it
- Give your all
Leadership Expectations:
- Be united by Reltio
- Be Honest and Considerate
- Make Decisions Based on Data
- Continuous learning and teaching
- Set Example Every Moment of the Day
How you will make a difference
As a Senior Machine Learning Engineer specialising in entity resolution, you will be tasked with creating, developing, and implementing cutting-edge machine learning algorithms and models to address the complexities of data matching, entity linkage and deduplication. You will work closely with multidisciplinary teams, machine learning engineers, data analysts and domain experts, absorbing their needs and transforming them into scalable and efficient solutions. Your work will directly influence the development of new and existing machine learning solutions, enhance operational efficiency and data quality, and accelerate meaningful business outcomes for Reltio through the application of machine learning and data science practices.
Responsibilities
- Develop leading algorithms and machine learning models for entity resolution using both supervised and unsupervised techniques.
- Thoroughly analyse data, pinpoint data quality concerns, and implement preprocessing and feature engineering approaches to optimise model performance.
- Explore and experiment with fresh data sources, features and modelling approaches to increase accuracy and efficiency of entity resolution.
- Work in close coordination with domain experts to understand specific needs, domain-based difficulties, and integrate their knowledge into the entity resolution process.
- Evaluate and benchmark existing entity resolution models and algorithms, and suggest groundbreaking approaches to address limitations and enhance performance.
- Join hands with multidisciplinary teams to merge entity resolution solutions into existing data management systems and processes.
- Conduct regular performance monitoring and analysis to ensure accuracy, reliability and scalability of entity resolution solutions.
- Stay informed about the latest advancements in data science, machine learning, and entity resolution techniques, and actively apply new methodologies and technologies to enhance existing solutions.
- Document research outcomes, methodologies, model evaluations and effectively explain complex technical concepts to a varied audience, including non-technical stakeholders.
Qualification:
- Master's degree or equivalent experience in Computer Science, Data Science, Statistics or a related quantitative field.
- Proven experience (over 5 years) working as a Machine Learning Engineer, Data Scientist or similar roles, specialising in applied data science and entity resolution.
- Strong knowledge of and experience in machine learning, data mining and statistical analysis for the development, validation and implementation of models and integration in products
- Expertise in programming languages such as Python or Scala, and experience working with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
- Experience with large-scale data processing frameworks and technologies (i.e. Spark) and proficiency in and database concepts.
- Solid understanding of feature engineering, dimensionality reduction, and data preprocessing techniques.
- Excellent problem-solving skills with an ability to develop innovative solutions to complex data challenges.
- Strong communication skills with the capacity to efficiently collaborate with cross-function teams and explain technical concepts to non-technical stakeholders.
- Meticulous attention to detail, capability to work independently, and a keen interest for staying up-to-date with the latest advancements in the field of data science. li>
Preference
- A masters or PhD in Computer Science, Data Science, Statistics, or a related quantitative field is preferred
- Preference given to candidates familiar with entity resolution techniques, such as record linkage, deduplication, and data matching, along with understanding their associated challenges and trade-offs.
- Previous experience with frameworks such as , TensorFlow, Keras or MLFlow is a plus
Become part of our skillful team and contribute to pioneering solutions in entity resolution. Help us overhaul how organisations manage and derive insights from their data, and make a significant impact.
