* Salário: R$ 2.000 a R$ 5.000 por mês (estimado)
* O valor exibido é uma estimativa calculada com base em dados públicos e referências do mercado. Não garantimos que este seja o salário oferecido para esta vaga específica.
Área: Outros
Nível: Pleno
We are hiring someone who will help build Shape’s MLOps platform along with other MLEs. This platform is a strategic asset for the company, as we currently have close to a thousand models running in production - a figure that is growing fast. Our platform is built in Python, which means that having experience with this language is a must.
A strong candidate will have a solid software engineering foundation (clean code, git, CI/CD, automated testing, code modularization, python package construction) above all else.
Responsibilities:
- Lead the design and implementation of innovative AI platform architectures that enable scalable, reliable, and efficient AI-driven products across Shape’s portfolio.
- Architect end-to-end AI solutions spanning from infrastructure to services that power multiple product lines and support diverse AI capabilities.
- Establish technical standards, best practices, and design patterns for AI platform development across the organization.
- Drive the adoption of cutting-edge technologies and methodologies in AI/ML infrastructure, including emerging generative AI and LLMOps practices.
- Make critical architectural decisions balancing technical excellence, business requirements, and resource constraints for AI systems.
- Lead complex technical initiatives that span multiple teams and integrate AI capabilities across different product domains.
- Mentor senior engineers and foster a culture of engineering excellence and continuous improvement in AI platform development.
- Collaborate with leadership to define technical strategy and roadmap for AI platform evolution and capability expansion.
- Identify and mitigate technical risks and limitations before they impact business objectives and AI product delivery.
Requirements:
- Solid software engineering background, knowledge of the best coding practices, and experience delivering code for products.
- Is proficient with the Python language, and, preferably, at least one other language (e.g., Scala, Java, C++, Bash).
- Knowledge of Machine Learning, and its relevant tools and frameworks (e.g., scikit-learn, Tensorflow, MLflow), also experience with models’ deployment to production environments and related tools (e.g., Docker, Kubeflow).
- Learns fast and can work in a lean, autonomous, high-performance team. Writes code to solve problems targeting the product evolution, and not only the current state of the business. We expect people to be results-oriented, not task- oriented.
- Fosters an open and highly collaborative work environment.
- English proficiency;
Differential:
- Hands-on experience building, deploying, and scaling the use of Machine Learning models to drive business impact. Both predictive and recommendation models are very relevant to what we do.
- Experience with big data tools (e.g., Apache Spark, Apache Kafka) and/or ETL pipelines development.
- Experience working in multidisciplinary agile product teams with flat hierarchical structures.
Benefits:
- PPR (Profit Sharing): Possibility of extra compensation based on the company’s results, according to your performance.
- Health and Dental Plan: To ensure your care and well-being!
- Flexible Benefit: Receive an amount that can be used according to your needs, including food, transportation, education, culture, and health. You decide how to use it!
- Flexible Hours: Work at the best time for you and have a better quality of life.
- Massages and Manicure in the Office: So you can relax and feel good about yourself.
- Mentorship Program: Access development opportunities with the help of experienced professionals.
- Wellhub: To keep your health in check and take care of your body.
- Snacks in the Office: Because everyone loves a snack at work!
- Inclusive Environment: We value diversity and always strive to create a space where everyone can be authentic, respected, and feel part of something bigger.
- Day off in Your Birthday Month: A day off in your birthday month to celebrate in any way you prefer
- Extended Maternity/Paternity Leave: So you can enjoy this important time with your family, with peace of mind that your professional life will remain well-supported.
- Childcare Assistance: To support you with the care of your young children.
- Continuous Individualized Development Support: We offer support for your professional growth, respecting your personal needs and goals.
- Culture and Well-being: We create an environment that values mental health, work-life balance, and encourages connection with culture.
The benefits provided with this position are not deducted from your paycheck!