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24-7 Intouch: Machine Learning Engineer

24 7 Intouch

This is a Contract position in Montreal, QC posted March 21, 2021.

About LaivlyLaivly is a division of 24-7 Intouch that specializes in emerging technology.

Our team of data scientists, developers, and researchers are dedicated to creating unique solutions by partnering smart technology with friendly humans to maximize the potential of customer service interactions.

We empower human potential with artificial intelligence and machine learning to enhance quality, empathy, and productivity in measurable ways for the benefit of the brands and consumers we serve.About 24-7 Intouch24-7 Intouch is a global contact center & technology company thatdelivers innovative and value-driven customer service solutions across all industries via an omnichannel approach that includes voice, social media management, live chat, email, fraud, UAT, self-service, and back office administration.

Using the most advanced technology in the industry, 24-7 Intouch’s customizable customer care platform allows their clients to utilize business insights to deliver lifetime consumer loyalty and increase incremental revenue.

With over 19 years of experience, the 24-7 Intouch team takes pride in building a top to bottom brand alignment for partners to create exceptional customer experiences.About The JobWe are working with the world’s biggest brands to invent the future of customer service and we need your helpWe are seeking a Machine Learning Engineer to design, develop and implement special projects within 24-7 Intouch’s software development division, Laivly.

We’re looking for an entrepreneurial mindset, a fearless attitude, and a passion to take software and machine learning practice to the next level.The ideal candidate is experienced in developing and optimizing machine learning-based projects for deployment at scale.

Our team not only takes pride in our work, but also in the way we do it.

If you’re a creative and daring engineer, we are the place for youAs Machine Learning Engineer, You Will… Work alongside a team of Engineers and Data Scientists to build tools and pipelines to improve our machine learning deployments and systems Collaborate with Data Scientists to optimize research outcomes and models for production Design, develop and maintain scalable production of machine learning pipelines, including data ingestion, data transformation, data validation, automatic model training, automatic model tuning, model evaluation, orchestration, model management and other components Consume and scale machine learning models by using Kubernetes and AWS-based cloud technologies Work closely alongside a team of Data Scientists and engineers as they relate to various projects such as Email prediction, Chat prediction, and Voice Assist in hyperparameter tuning of models for optimal performance Make recommendations for new metrics, techniques, process improvements and strategies Support a platform providing ad-hoc and automated access to large datasets, models and predictions Develop applications that interface with CRM systems, Chat systems, and Telephony systems Play some Marvel trivia, maybe some pinballAnd enjoy our free snacks and drinks.

Mmm RequirementsAs Machine Learning Engineer, You Have… Bachelor’s degree (required) or Masters degree (prefered) in Computer Science, Software Engineering, or Computer Engineering Practical experience in machine learning development Minimum 2 years of recent software development experience (required) Experience with Kubeflow (preferred) Experience in AI / ML and data pipeline building (preferred) Experience with Object Relationship Mapping like Entity framework (preferred) Experience with automated testing (unit/integration testing, etc) (preferred) Experience within an agile development environment (preferred) Experience building and consuming web services Proficiency with SQL databases and data access Skilled programming experience in a language such as Python and C# or similar Experience configuring and using AWS or equivalent cloud environment Strong documentation skills and the ability to explain software engineering and machine learning concepts to stakeholders The proven ability to architect scalable, maintainable software and a high-level understanding of data science concepts Energetic enthusiasm for all things GOT Great communication skills Comfortability working with a wide range of stakeholders and functional teams Made it to the end of the job description, which means you must be detail oriented We like that