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    Machine Learning Engineer
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    Mobica

    Machine Learning Engineer

    Mobica
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B, Permanent
    Operating mode
    Remote
    Mobica

    Mobica

    Mobica is home to exciting projects in the new generation of software and passionate people who are driven to advance the IT world. We develop the technologies of tomorrow for the world’s largest brands. Join us on this extraordinary mission!

    Company profile

    Tech stack

      Machine Learning

      advanced

      Spark

      advanced

      Docker

      advanced

      Kubernetes

      advanced

      Amazon AWS

      advanced

      SQL

      advanced

      Python

      advanced

    Job description

    Online interview

    Company Description

    Mobica | Be Extraordinary_  

    Mobica helps businesses build pioneering experiences for their customers. Headquartered in Manchester UK with offices across Europe and US, we partner with businesses across multiple industries - from aerospace to finance and semiconductors to automotive - providing them with access to incredible talent and engineering expertise across the entire technology stack


    Mobica Way

    • Well-known Clients and Projects focused on the Technologies of Tomorrow - our work is already all around you. Almost all of our long term customers are instantly recognisable global brands developing some of the most interesting products and services you are using today and will use in the future. Our expertly crafted software underpins many of today’s amazing customer experiences. When you join us, you'll be both challenged and supported, and you'll be a part of something extraordinary. 
    • Empowered Mobicans driving their own careers – we empower our people to develop their skills and move forward in their careers. Our people are treated like partners, are encouraged to share knowledge and push the boundaries. We are there to help you with the opportunities to advance, learn and grow.
    • Ideas are prioritised over Hierarchy and Biases - in Mobica you are listened to and valued. We are building open communication and a safe environment. We've made it our mission to create a working environment where all team members feel welcome, protected from discrimination and have access to equal opportunities. 
    • We believe that employees should be happy – Mobica is a place where talented minds are recognised, nurtured and valued. We are early adopters of the hybrid working practices, you define the way where you work more productive - at home or in the office - we will create the environment for that. In addition to the competitive salary you are getting access to a range of virtual, offline and on-site events and platforms where you can learn, brainstorm, challenge, express yourself or simply have some fun and get new friends. Fruit and snacks are in the office to make your mood good. 


    Job Description

    We seek passionate Machine Learning Engineer to develop robust solutions to real-world, large scale problems that have a direct impact on the business. You should have a demonstrable experience in ML Engineering and working in a product model using Scrum.

    As a Machine Learning Engineer, you will be expected to own projects end-to-end - from conception to operationalization, demonstrating an understanding of the full ML model lifecycle.


    We are looking for candidates who enjoy a collaborative and academic environment where we develop and share new skills, mentor, and contribute knowledge and software back to the analytics and engineering communities.


    If this is you, you’ll be working with the Artificial Intelligence and Machine Learning (AIML) team for global retail company. With teammates in Portland, Boston, China, and Poland, you’ll be joining a global organization working to solve machine learning problems at scale. 

    You’ll be designing and implementing scalable applications that leverage predictive models and optimization programs to deliver data driven decisions that result in incredible business impact. You’ll also contribute to core advanced analytics and machine learning platforms and tools to enable both prediction and optimization model development. 


    Qualifications

    • 4+ years of relevant professional experience
    • Ability to write robust, maintainable, and extendable code in Python
    • Experience with SQL and Spark
    • Knowledge of applied data science methods and machine learning algorithms
    • Data wrangling experience with structured and unstructured data
    • Experience with cloud architecture and technologies (preferably Amazon Web Services, Kubernetes, and Docker) and MLOps concepts, would be an asset
    • Background in mathematics, statistics, or computer science.
    • Familiar with principles of solution architecture and technical design
    • Effective communication skills (with team members, the business, and in code)



    We offer

    • Competitive salary package
    • Flexible working hours
    • Opportunity to work from home
    • Training and mentoring programs
    • Ability to advance your technology skills
    • Variety of projects with the cutting edge technologies at the core
    • Private medical care and life insurance


    Diversity and Inclusion Statement

    We aim to recruit, develop and retain the most talented people we can find, from a range of backgrounds and cultures. Inclusivity and equality are cornerstones of our Mobica community and a big part of what makes us so brilliant to work with. Here, dedication and performance are valued and rewarded regardless of nationality, gender, age, religious beliefs or other personal characteristics. Here, diversity is celebrated and everyone belongs.


    “The benefits of having a diverse workforce from different backgrounds, recruited and developed only on the basis of ability, is a core personal belief for me - so I join with other members of Mobica’s leadership in promoting a commitment to recognise equal opportunities and rights for our talented individuals. Every Mobican can expect to be treated with dignity and respect regardless of personal characteristics or beliefs.”

    Gary Butters

    CEO

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