Stratto AI
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Machine Learning Specialist
Hello, I'm Jacqueline Miller - CEO here at Folio.
From humble beginnings, we have grown to serve hundreds of satisfied customers, generating millions in revenue. Our growth trajectory has been nothing short of extraordinary, with consistent triple-digit year-on-year growth.
This success is a testament to our robust and beautiful product, which is trusted and used by growing organizations every day. Each team member plays a vital role in our journey, contributing their unique skills and expertise to our collective success.
Principal responsibilities
- Model Development: Design, develop, and deploy machine learning models for various applications.
- Data Analysis: Analyze large datasets to identify patterns, trends, and insights that inform model development.
- Algorithm Optimization: Optimize and fine-tune algorithms for improved accuracy and efficiency.
- Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and product managers, to integrate machine learning solutions.
- Research: Stay up-to-date with the latest advancements in machine learning and artificial intelligence, and apply new techniques to our projects.
- Documentation: Maintain clear and comprehensive documentation of models, algorithms, and processes.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Qualifications
- Education: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
- Experience: 2+ years of experience in machine learning, data science, or a similar role.
- Technical skills: Proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or scikit-learn. Experience with data processing frameworks like Pandas and NumPy.
- Analytical skills: Strong analytical and problem-solving skills, with the ability to interpret complex data and translate it into actionable insights.
- Communication: Excellent written and verbal communication skills, with the ability to explain complex concepts to non-technical stakeholders.
What we offer
- Competitive salary: We offer a competitive salary and benefits package.
- Remote work: Enjoy the flexibility of working from anywhere.
- Professional development: Opportunities for continuous learning and professional growth through training programs and conferences.
- Innovative projects: Work on diverse and exciting projects that challenge your skills and creativity.
- Collaborative culture: Be part of a team that values collaboration, innovation, and mutual support.


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How to apply
If you are excited about the opportunity to make a significant impact through machine learning, we would love to hear from you! Click the link below to apply:
Apply now
Hiring Manager
Jacqueline Miller
View profile
Application Deadline: August 31, 2024
Department: Information technology
Employment Type: Full time
Location: New York
Compensation: $30,000 - $50,000 / year
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