MLOps Engineer
ISPROX is a talent recruiting organization. Our goal is to find and select the best human capital and talent for our clients in order to help them to grow or sustain as a company. ISPROX has presence in several locations in Europe in order to be as much close as possible from our clients.
Description:
We are selecting for our client, a multinational technology company, known for its cutting-edge solutions and commitment to innovation.
We are looking for a MLOps Engineer to join our dynamic team and drive the technical implementation of our AI platform.
Responsibilities:
- Collaborate with ML-engineers, architects, and data scientists to build and maintain our open-source-based delivery platform.
- Support the data science team by maintaining software and infrastructure components and ensuring compliance with IT and regulatory requirements.
- Design and realise a roadmap for the continuous evolution of the ML-platform with the Architecture Owner and AI Architect.
- Establish reusable patterns and templates to assist data scientists with implementation.
- Perform code reviews and coach team members in technical best practices.
- Expand our platform onto the AWS Cloud.
Our client is at the forefront of technology and values every employee’s contribution towards its development, creating an environment where ideas and independent thinking are encouraged.
ISPROX is looking for
We are seeking a highly skilled candidate with extensive experience in MLOps. The ideal individual will have a solid grasp of both backend engineering and data science practices.
- Master’s degree in computer science or related field and/or equivalent professional experience.
- Several years’ experience deploying and maintaining robust data processing and machine-learning pipelines.
- Ability to write clean, modular, production-grade python code that adheres to industry best practices.
- Strong communication skills, exercising a balance between engineering and analytical priorities.
- Experience with tools or technologies including Kubernetes, Grafana, Prometheus, Splunk, AWS, and SQL.
We will especially value candidates who possess a passion for technology and an innovative mindset, particularly in areas such as Machine Learning, DevOps, and robust Python programming.
Tasks:
- You will play a key role in the development and enhancement of the machine learning platform, working closely with the data science team to maintain core software and infrastructure components, implement new features, and ensure alignment with IT policies and regulatory standards.
- In collaboration with the Architecture Owner, AI Architect, and fellow ML Engineers, you will contribute to shaping and executing the roadmap for the platform’s ongoing evolution, integrating state-of-the-art tools and technologies as appropriate.
- You will define and maintain reusable, well-documented templates and foundational patterns, supporting data scientists in applying them to their projects. This includes conducting code reviews and mentoring team members on technical best practices
The offer:
This opportunity is ideal for candidates eager to make a significant impact in a supportive and innovative environment.
Our client provides a stimulating work environment where all contributions are valued. Enjoy 25 annual days of vacation and flexible working hours that adapt to your lifestyle. Additionally, receive an annual allowance for various benefits.
Benefit from an iPhone, a second screen for your home office, and a tech allowance in your first month to prepare your workspace comfortably.
Your health is important to us, as we offer comprehensive health and life insurance for you and your family. Other office perks include coffee, fruit, and standing desks to enhance your daily work experience.
If you’re motivated by a hybrid work model and ready to contribute to innovative projects, we encourage you to consider this fantastic opportunity.
Apply now and take the next step in your career!
- Department
- ISPROX PORTUGAL
- Role
- Informática e Telecomunicações
- Locations
- Lisboa
- Employment type
- Full-time
- Employment level
- Professionals
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