Machine Learning Engineer

18 hours ago


Manila, National Capital Region, Philippines Ubiquity Full time $90,000 - $120,000 per year

Machine Learning EngineerApply locations: Manila_Bench Time type: Full time Posted on: Posted 24 Days Ago Job requisition id: R-105153Let's tomorrow, together. At Ubiquity, we live by the mantra head, heart, and hustle. Head because we use our collective industry know-how to always push ourselves, our clients, and our programs to be the best they can be.

Heart because we are always gracious with our time, our collaboration, and with one another. And Hustle because we have grit, tenacity, perseverance, and a proven track record of meeting and exceeding goals — every person, in every role, for our company and our clients. Sound like the right fit?

Your tomorrow looks bright at Ubiquity. Your Role:Job SummaryUbiquity is hiring for a Machine Learning Engineer to join our team. The Machine Learning Engineer has overall responsibility for developing machine learning techniques and algorithms required for Ubiquity's product platforms.

He/she provides support during demo as well as project phase by defining requirements and creating solutions required for proper data processing and decision-making of software products. What it will do:Provide Machine Learning / Deep Learning algorithms and solutions for data processing and analysis required per project. Work together with the software engineering team for software solution integration, to ensure software product deployment and integrity.

Support the software team with programming if necessary. Provide Machine Learning and algorithm expertise and develop requirement documents collaboratively with project teams. Provide guidance for data collection and annotation process, based on requirement of the Machine Learning algorithm development.

Maintain Machine Learning solution as a part of the software product. Provide ongoing solution development to meet project target, and reengineer solution as needed. What do we need from you?

You have 3+ years experience as a machine learning engineer or scientist, deploying models in production at scale. Experience deploying models as a part of a (possibly stateful) microservice is strongly desired. You are passionate about directly optimizing core products or operations through AI/ML systems deployed to production.

You care deeply about exploring data and understanding the real life user behavior and processes that generate it. You are an expert in Python's open source machine learning ecosystem. Experience with TensorFlow or PyTorch is strongly desired.

Experience with Object Oriented Programming (OOP) paradigm and related concepts. Independent and innovative thinker with an ability to work in an autonomous environment. You excel at communicating progress, trade-offs, and the results of your work to team members from other functions.

Additional preferred skills for the Machine Learning Engineer role include:Natural Language Processing (NLP): Experience with NLP techniques such as text classification, sentiment analysis, named entity recognition, and topic modeling. FastAPI.Optional skills that could be beneficial for the role include:ASR models. React / AngularJS / jQuery.

Visualization libraries in JavaScript. Note: These skills are not mandatory, but may be useful for the job depending on the specific requirements of the projects. What we do:Recognized as the #1 CX provider for disruptors and innovators across financial services, healthcare, and e-commerce, Ubiquity was founded on the belief that our clients and their customers deserve better.

Headquartered in New York City with delivery locations in Europe, Asia, and the Americas, Ubiquity provides multilingual, end-to-end solutions for customer experience management, back-office/risk operations, and business transformation. Come as you are, because you matter at Ubiquity.

We're committed to creating an inclusive employee experience for all. Regardless of race, gender, religion, sexual orientation, age, or disability, we believe that we're at our best when everyone can contribute their ideas and feels free to be their most authentic self.



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