Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
We're looking for a talented Machine Learning Engineer to join our team and build innovative AI solutions. You'll be responsible for developing and deploying sophisticated machine learning models, optimizing data pipelines, and contributing to cutting-edge projects. We're particularly interested in candidates with experience in designing, building and deploying machine learning systems, as this skill set will be a major advantage in pushing the boundaries of our AI capabilities.
What you’ll do
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Research innovative data solutions from unstructured sources to solve real business problems.
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Design, implement, and maintain scalable data pipelines for data ingestion, transformation, and delivery to ML models.
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Develop and deploy advanced machine learning models using techniques like natural language processing, and computer vision.
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Collaborate with a team of engineers, data scientists, and product managers to deliver impactful AI solutions.
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Develop analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development
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Implement monitoring and logging solutions to track model performance and detect anomalies
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Remain current on new developments in data analytics, Big Data, predictive analytics, and technology.
What experience you need
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Bachelor’s Degree in Statistics, Mathematics, Computer Science (preferably) or equivalent to experience
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At least 4 years of experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark
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At least 4 years of experience coding with several programming languages: Python, Java, SAS, R
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At least 4 years of experience in developing and deploying machine learning algorithms in production , creating and using advanced Machine Learning algorithms: including supervised, unsupervised, and reinforcement learning techniques.
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At least 4 years of experience in data science and statistics : understanding of data cleaning, preprocessing, feature engineering, and statistical analysis and using popular frameworks such as TensorFlow, PyTorch or scikit-learn
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2+ years of experience working with cloud platforms (e.g. GCP, AWS, Azure) for deploying and managing ML systems .
What could set you apart
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GCP, AWS or Azure cloud certifications
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Experience with large language models (LLMs) and their applications in various domains.
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Knowledge of prompt engineering, fine-tuning, and evaluation techniques for LLMs.
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Familiarity with NLP tasks such as text classification, sentiment analysis, or data extraction.
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Experience with Agile development methodologies (SCRUM, XP, etc)
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Strong communication and collaboration skills: Ability to work effectively in a team environment and communicate technical concepts to both technical and non-technical stakeholders.
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Strong analytical, problem solving and diagnostic skills
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Ability to translate technical requirements into automation solutions (machine learning pipelines)
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Strong communication and collaboration skills for working effectively in a team environment.
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Self-driven and self managed according to changing priorities
#LI-DU1
#LI-Hybrid
We offer comprehensive compensation and healthcare packages, on-site doctor, paramedics service 24/7, life insurance, gym facilities, collaborative workspaces, free transportation and parking, subsidized cafeteria, solidarity association, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Who is Equifax?
At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence.
We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best.
Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
