The AI/ML Engineer is responsible for designing, developing, and deploying artificial intelligence solutions tailored to solve real business problems.
As an “AI Engineer”, the goal is to find the adequate solution for the problem, which can range from simple sets of rules such as specialized systems to complex deep learning models, computer vision, LLMs or optimization algorithms. Sometimes, the best solution will be ML-driven. Other times, it might just be something simpler.
A scientific level of rigor is expected, with thorough documentation and reproducible experiments that evidence the effectiveness of each solution. It is also expected to stay updated with AI advancements and effectively gather and incorporate domain expertise into AI development.
Solutions are expected to be developed end-to-end, from the experimentation to the deployment, meeting software engineering high standards. An engineer also knows when to apply an existing solution instead of developing a new one, accelerating value delivery.
The AI Engineer is, above all, a skillful problem-solver, and a core piece of all products developed by Shape Digital.
Reponsabilities:
- Explore and analyze data to scope potential AI-powered solutions for asset monitoring or process optimization.
- Statistically understand and describe physical phenomena.
- Build reports and visualizations to effectively communicate technical findings to both technical and non-technical stakeholders.
- Develop and deploy machine learning models for predictive maintenance monitoring.
- Collaborate with maintenance teams to understand equipment behavior and translate domain knowledge into effective AI solutions.
- Write high-quality, scalable and maintainable code while following best engineering practices.
- Monitor and ensure the quality of previously deployed AI-powered solutions.
- Document experiments, solutions, and learnings to ensure reproducibility and knowledge sharing across the team.
Requirements:
- Science: Prior experience with data analysis, signal processing, and/or time series analysis in an academic or professional setting. Familiarity with scientific methods and research principles.
- Math and statistics: Experience applying probability theory, descriptive and inferential statistics, and linear algebra fundamentals to support data analysis and model development.
- ML techniques: Applied experience with the most common machine learning libraries (XGBoost, Tensorflow, Pytorch) and model development techniques (e.g., train/test split, cross validation, hyperparameter optimization), as well as evaluation metrics (e.g., accuracy, precision, recall, AUC, MAPE, RMSE, etc.).
- Software: Good knowledge of software engineering and best coding practices (e.g., SOLID principles, git, clean code, unit tests) applied to AI solutions development.
- Code: Ability to write modern, clean, maintainable and scalable code in Python.
- Cloud Solutions and AI infrastructure: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and AI pipelines in production environments.
Soft Skills
- Problem-solving: Identifies needs and motivations behind received problems; Solve problems targeting the product evolution, and not only the current state of the business; Oriented to solving problems in a structured way; Capable of scoping concrete deliverables with clear milestones and realistic timeframes; Fosters innovative ways to approach known problems; results-oriented, not task-oriented.
- Eagerness to learn: Comfortable with working in previously unknown environments and learning on-the-go. Learning fast and is more oriented to learn-by-doing than learn-by-studying. Is always curious about new tools and techniques available on the community. Proactively researching and experimenting alternatives to improve the environment.
- Fosters Collaboration & Teamwork: Constantly shares acquired knowledge. Proactive in mentoring more junior colleagues through code reviews and pair programming.
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.
- TotalPass: To keep your health in check and take care of your body.
- Zenklub: Access to mental health and emotional well-being support.
- 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!
