Senior Machine Learning
hace 2 semanas
Who You Are
You are excited to build innovative products and features.
You excel by finding daily opportunities to grow at the same pace as the technology we're building, and you build partnerships that improve our business.
Likewise, you're someone who sees feedback as an opportunity to learn and grow and believe decisions powered by data are the norm.
You care about the wellbeing of others and yourself.For a results-oriented team member who consistently delivers in alignment with client-centric quality standards, this job is perfect. Our culture is super positive, we take 100% responsibility for our work and results. We have the courage to say "please", "thank you", "I'm sorry" and "I don't know". The potential for growth is limitless for the right person.
If you want to help grow a company (ours and the clients), express the best parts of yourself and have a major impact on a company's future, this is an ideal role.
Who We Are
An award-winning company, ranked in the top 1% for growth by Inc 5000, MAS Global Consulting is a leader in Software Development and Digital Solutions, uniquely servicing mid to large Enterprise customers globally.
With headquarters in Tampa, Florida and a major hub in Medellín, Colomibia, our teams make it possible for companies, such as Johnson Controls, Bloomberg, Affirm, Claro, Mercado Libre and Dell to meet deliverables on-time and provide new products and features for their customers and internal stakeholders providing ease of engagement.
Regardless of client size, we help solve their technical challenges. MAS is a diverse community of dedicated experts and trusted partners. We deliver custom software solutions with a MAS experience that creates value for everyone.Our Values
Strength. Consistency. Responsibility. These values help us transform digital ideas into reality.
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ALL-IN MENTALITY:
Proactive, engaged, agile, accountable, with integrity
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TOGETHER, WE ARE MORE:
We live collaboration and teamwork
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STAY CURIOUS:
We pride ourselves in being innovative and life-long learners
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WE CARE:
We value our people, clients, community, society and the planet
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MAS EXPERIENCE:
We focus on relationships, delivery, responsiveness, flexibility, and outcomes
MAS Global
- is 100% Hispanic woman owned,
- was recently certified as a Great Place to Work,
- has appeared on the Inc 5000 list five years in a row,
- has been slated in the top 3% of Hispanic owned companies in the US by Stanford,
- has a MAS Future Foundation that offers scholarships and continuing education for girls and women in tech. Every team member placed on a client project _directly_ and positively impacts the Foundation.
Overview:
We place our value in our people comprised of diverse, bold, energetic, A-players who believe in discovering solutions, building great products, pay parity, and who strive to achieve the improbable.
Overview
As a backend ML engineer, you will sit on a product team developing AI, ML, and optimization products that are of strategic importance to the firm.
You will partner with our product managers, researchers, and stakeholder teams to develop production grade model implementations and infrastructure that facilitate the use of our models and analytics within a larger, integrated workflow.
This includes implementing the methods being developed by the researchers in production grade code and building surrounding infrastructure such that the analytics may be accessed via a variety of access patterns (API, files, etc.).
You will also be responsible for creating automated tests of all software developed, including unit and integration testsYou will
- Accurately implement methods described in technical documentation developed by our researchers.
- Develop accompanying infrastructure to make the models and analytics developed accessible via a variety of access patterns.
- Test all software being developed for accuracy and stability.
You have
- A bachelors, masters, or
PhD in computer science or similar software engineering focused major. A second major, minor, or degree in an adjacent quantitative discipline, such as math, engineering, or physics is a big plus. - 5+ years of professional experience implementing machine learning models, optimizers, and other quantitative tooling in a professional setting.
- The ability to read and understand mathematical documentation in the form of whitepapers containing the methods being developed.
- Strong understanding of statistics and linear algebra and working understanding of convex optimization.
- Proficiency in Python in the contexts of automation, infrastructure development, and quantitative computing.
- Strong understanding of Python scientific libraries such as Numpy, Scipy, Pandas, PyTorch, etc.
- Understanding of testing in the context of software engineering, including unit testing, integration testing, performance test
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