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Engineering Manager (JavaScript / NodeJS / Typescript) - Remote EU

posted by: spj_bot

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for an Engineering Manager (JavaScript / NodeJS / Typescript) in European Union.

As an Engineering Manager, you will lead a cross-functional team of frontend and backend engineers in building and enhancing a suite of SaaS digital advertisement products. Your focus will be on guiding your team to improve their technical skills while also remaining hands-on to keep your engineering expertise sharp. You will be collaborating with various teams, including Product Design and Product Management, to ensure high-quality development and to foster an engineering culture built on collaboration and innovation. Your leadership will be essential in mentoring engineers, driving project delivery, and continuously elevating the team's performance and morale.

Accountabilities:

Job Skills

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Principal Data Scientist

posted by: spj_bot

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the retail & CPG industry, with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for a Principal Data Scientist with a strong blend of analytical skills, deep knowledge of data science methodologies, and practical experience in applying algorithms to real business challenges to join our team.

Key Responsibilities:

Job Skills

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ML Ops Architect

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a motivated and passionate Machine Learning Engineers for our team.

 

Job Description:

As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers that support, build, and enable Machine capabilities across the organization. You will work closely with internal customers and infrastructure teams to build our next generation data science workbench and ML platform and products. You will be able to further expand your knowledge and develop your expertise in modern Machine Learning frameworks, libraries and technologies while working closely with internal stakeholders to understand the evolving business needs. If you have a penchant for creative solutions and enjoy working in a hands-on, collaborative environment, then this role is for you.

Requirements

What you'll do in the role:

Job Skills

leadership terraform databricks cloud architectures compliance requirement cross functional agile system health version control scalable manage github high availability big datum distribute computing test automation workbench architectures technologies time performance engineers engineers computer science cloud compute visualization technologies manage cloud consultants airflow tableau job description azure data libraries azure databrick career development managed python experience designing google cloud platform collaborate reliable best practices azure machine learn analytics standard operating procedure programming machine learn creative perspective automated azure kubernete service governed data science google cloud market research scripting consulting scalability performance optimization real time azure monitor electrical engineering vulnerabilities collaborative machine learning infrastructure logging tracking scale e data pipelines ansible programming languages unix shell job scheduler processes tools
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AI Engineer

posted by: spj_bot

AHOY is seeking a talented AI Engineer to join our innovative team dedicated to pushing the boundaries of artificial intelligence technology. In this role, you will develop and implement AI models and algorithms that enhance our products and services. You will be a critical player in designing solutions that optimize operations, improve user experience, and drive business results.

Key Responsibilities:

  • Design and develop AI-based applications including machine learning models, natural language processing tools, and predictive analytics solutions.
  • Implement algorithms and models to improve performance and scalability across various platforms.
  • Collaborate with data analysts and software engineers to gather requirements and translate business needs into technical specifications.
  • Analyze large datasets to derive actionable insights and enhance existing AI models.
  • Conduct research on advanced AI algorithms and technologies, evaluating their applicability to current projects.
  • Document processes, methodologies, and technical specifications to facilitate knowledge sharing within the team.
  • Monitor model performance and iterate on design based on real-world feedback and data.

Requirements

Qualifications:

Job Skills

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Senior Frontend Engineer - React JS

posted by: spj_bot

Who we are (Company introduction) 

Robusta Technology Group (RTG) is a key driver of digital transformation by providing a holistic tech ecosystem. RTG works with its local and international partners to help build digital customer experiences, establish remote engineering hubs, and build ventures across multiple industries and domains. In this pursuit, RTG serves as a catalyst for impact and growth through events, spaces, and content focused on creating impact and growth across the different interactions. 

Robusta is a tech agency working with a diverse client base across different sectors & industries on implementing digital transformation programs. Engagements are typically focused on the digitization of existing operations & processes and/or activation of digital customer engagement channels. With a team of 100+ tech and market consultants, robusta maintains an impactful footprint across EMEA and engages with its clients through its two key operations hubs in Egypt and Germany. 

Our Engineering Team

At robusta, Engineers are craftsmen, we take pride in our skills and our target is delivering the right value to our partners. We deeply believe in the Agile & DevOps movements, and we structure and shape our systems and processes accordingly.

Job Skills

carving cross functional team customer experience product managers target usability server side javascript agile clean product pixel perfect scalable reactive plan code review communication management computer science write backend writing consultants translate interactive web application timelines libraries open source enterprise platforms algorithms social medical work model user interface collaborate react js unit testing maintain code responsive design best practices operations programming digital transformation rxjs customer engagement catalyst cross functional teams typed platform applications english language scalability API screen size devops design concepts resilient graphql redux react typescript design process user experience communicating digitization data structure integrate agile methodology
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Full Stack Java SW Engineer for Business Process & Applications

posted by: spj_bot

With more than 20 years of proven experience, QUALCO is a leading Fintech solutions provider, offering a wide range of analytics-driven, highly scalable enterprise software solutions in over 35 countries worldwide. Our end-to-end technology solutions cover a wide range of needs for Banking, Financial Services, Utilities, Insurance, Retail organizations, and beyond. Image removed.At QUALCO, we empower the financial world with innovative technology. As a Full Stack Java SW Engineer, you will be part of our Business Process & Applications team in Athens and you'll play a crucial part in the analysis, design, and implementation of high-quality software. Our team consists of full stack developers utilizing a variety of technologies.

A Day in the Life of a Full Stack Java SW Engineer at Qualco will include: 

Job Skills

mysql mariadb json software system database schema writing scripting angular english java java servlet centered disability www quality software unit tests personalized front end integration application development beverages general data change management problem solve regulatory requirement professional SOAP enterprise applications technology solution analytics product functionality libraries scalability ping javascript framework restful apis spring framework development tools html5 enterprise software verbal communication skill business process postgresql collaborate design code XML tomcat equipment mobile database system technical documentation react redux analytical development plan com management process scalable banking plan financial service unit testing information technology mongodb innovative computer science jquery cooperation query optimization API organizational skill
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Machine Learning Engineer (Canada)

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a motivated and passionate Machine Learning Engineers for our team.

As part of this job, you will be responsible for:

  • Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions
  • Creating Scalable Machine Learning systems that are highly performant
  • Building reusable production data pipelines for implemented machine learning models
  • Writing production-quality code and libraries that can be packaged as containers, installed and deployed

Requirements

Job Skills

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