Urgent! Machine Learning Engineer Job Opening In Lisbon – Now Hiring RE Partners
Who We Are: We are a fast growing business and technology consultant company co-founded in 2019.
We offer a custom-tailored, white-glove engineering service fit for our clients, because a digital transformation is more than just technology.
With a successful track record of being a preferred vendor for Fortune 500 companies and as a trusted partner for some of the industry’s leading companies, our global talent has helped many clients achieve their goals.
The 3 G’s of RE:
“Get Shit Done.”
“Get Over Shit.”
“Give a Shit.”
This role exists to support the business in utilizing Machine Learning applications to drive additional value for our customers by feeding into the delivery of strategic data science solutions whilst setting up resilient and future-proof ML infrastructure and engineering foundations.
Responsibilies:
Designing and developing our ML Operations (MLOps) infrastructure and practices to support the effective transition of machine learning models and PoCs into production in a cost and operationally efficient manner.
Monitoring, and maintaining the health of new and existing ML models post deployment; Working with business stakeholders to proactively raise awareness of any risks to the model(s) outputs and/or their interpretation, and usability.
Implementing modern code development and MLOps strategies, in collaboration with Data Science and Data Engineering to support the proactive identification, targeting and resolution of any ML model(s) performance issues across their entire lifecycle.
Developing operating procedures, work instructions and high-level designs of ML pipelines and architectures to support the effective documentation of our work.
Working with third party partners and software providers to improve, implement and/or support the move to production of novel Machine Learning solutions.
Raising awareness of best practices for MLOps; collaborating and knowledge sharing with individuals across the data and software teams, and wider business.
Collaborating with Data Science, Data Engineering and Software Engineering teams to drive cross-function visibility and reduction of technical debt across the teams.
Designing and implementing ML infrastructure to support the deployment and monitoring of ML models in production in an efficient and cost-effective manner.
Developing an MLOps strategy aligned to best practice and existing DevOps practices in Gymshark.
Developing a strong knowledge of all data sources and maintaining relations with data users/processors across the business.
Essential:
Extensive experience and expertise in Python.
Proven experience in modern code development practices and implementation of MLOps strategies in the cloud to drive operational and infrastructure cost efficiencies.
Hands on experience designing, building, and maintaining ML infrastructure and taking ML models to production.
Working knowledge of CI/CD practices.
Strong stakeholder management skills: working collaboratively with Data Science, DevOps, Data and Software Engineering teams.
Demonstrable experience of critical thinking, communication and problem-solving ability, and stakeholder management.
Coaching junior engineers to support their technical skills development.
Able to separate BAU from core objectives.
Demonstrate delivery under pressure and to deadline.
Preferred:
Experience productionising recommender engines and ensemble ML in Google Cloud
Experience or exposure to managing ML Infrastructure costs and operational reliability in the cloud.
Willingness to learn new tools and techniques; proactively keeping up to date with latest thinking and practices in the data science space.
Experience working in an e-commerce/retail market would be beneficial.
Embrace change with a positive outlook.
Confident to challenge, and receptive to being challenged.
The ability to thrive in a fast-paced environment.
Join Our Global Team: We invite you to apply for the position at RE Partners.
Join us in shaping the future of business technology consulting and transforming the way organizations thrive in a digital world.
As a diverse, woman-owned global business, we pride ourselves on keeping talent happy – our 7% attrition rate speaks volumes.
Bring your talented friends along and earn a referral bonus
Equal Opportunity Employer: We are an equal opportunity employer and welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status.
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Lisbon, Portugal (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Lisbon, Portugal using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 97 jobs in Portugal and 48 jobs in Lisbon. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! RE Partners is currently hiring and seeking a Machine Learning Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Engineer Jobs Lisbon.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at RE Partners adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineer Jobs Portugal varies, but the pay scale is rated "Standard" in Lisbon. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning Engineer typically include It Services And It Consulting and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Machine Learning Engineer interview at RE Partners, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the RE Partners's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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