Cuesta Partners is looking for a Machine Learning Engineer in Latin America interested in consulting, to work with our broad base of clients on various engagements, delivering AI-driven solutions using modern technologies and best practices while mentoring others.
As a member of our data practice, you will play a key role in shaping our clients' AI and machine learning capabilities. Your mission will be to develop and deploy machine learning models that enhance business insights and operational efficiencies. You will collaborate with cross-functional teams to ensure seamless model integration and optimization.
What We're Looking For:
3-5 years of prior experience as a ML Engineer.
Bachelor's or Master’s degree in Computer Science, AI, Data Science, or related field.
Proven experience as a Machine Learning Engineer with expertise in designing, developing, and deploying ML models.
Proficiency in Python and ML libraries such as TensorFlow, PyTorch, and scikit-learn.
Strong understanding of algorithms, statistics, and machine learning techniques.
Experience deploying models using cloud platforms (AWS, GCP, or Azure).
Strong problem-solving skills and ability to work in a collaborative environment.
What You'll Do:
Design, develop, and deploy machine learning models for a variety of applications, including predictive analytics, classification, and clustering.
Build and optimize scalable, end-to-end ML pipelines from data preprocessing and feature engineering to deployment and retraining, ensuring efficient data flow and robust performance.
Collaborate with data scientists, data engineers, and MLOps teams to ensure clean datasets, scalable infrastructure, and adherence to best practices in model deployment.
Integrate ML models into production environments and continuously monitor, evaluate, and retrain them to maintain effectiveness and accuracy.
Implement cloud-based solutions to support scalable and efficient machine learning workflows.
Stay up to date on emerging ML/AI technologies and recommend new tools and techniques to enhance model performance and outcomes.
Document processes and develop technical materials to support model transparency, reproducibility, and interpretability.
Why You’ll Love Working With Us
Comprehensive Health Plan: Prepaid health coverage for you and your immediate family.
Team Engagement Activities: Fun and meaningful events to connect and grow together.
Annual Performance Bonus: Recognition and reward for your hard work.
Growth Opportunities: Career development and advancement within the company.
Flexible Work: Hybrid model with mostly remote work and one day per week in the office for team connection.
Paid Time Off & Holidays: Generous leave to recharge and spend time with loved ones.
…and more! Additional perks and initiatives to make your experience at Cuesta Partners even better
Skills Required
- 3-5 years prior experience as a Machine Learning Engineer
- Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field
- Proven experience designing, developing, and deploying ML models
- Proficiency in Python
- Experience with ML libraries: TensorFlow, PyTorch, scikit-learn
- Experience deploying models using cloud platforms (AWS, GCP, or Azure)
- Strong understanding of algorithms, statistics, and ML techniques
- Strong problem-solving skills and ability to work collaboratively
- Experience mentoring or supporting other team members
What We Do
We believe in the power of technology to create sustained, differentiated advantage. Our firm helps organizational leaders understand and use emerging digital solutions to drive value across their business. Technology has become an accelerating source of competitive divergence – Cuesta helps companies capitalize on this opportunity with a pragmatic, hands-on approach. Our team has scaled and operated companies across several industries, launching technology solutions focused on delivering business value. We believe the truth is in the details and projects are successful when the work is done the right way. At Cuesta, we are building the firm where we always wanted to work. We challenge convention, work efficiently, and seek ongoing personal growth. Our team supports each other and laughs together. We value diversity, creativity, humility, and perseverance.
