Machine Learning - Construction

LatAm

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About Truelogic

At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.

By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.

Our Client

Eg: A leading consumer electronics manufacturer>


Job Summary

pipelines, optimizing workflows, and implementing secure, scalable storage solutions. The ideal candidate is a problem-solver with a deep understanding of modern data engineering practices, cloud technologies (especially AWS), and tools that ensure data accessibility, quality, and governance. Collaboration with cross-functional teams is essential to translate business needs into effective technical solutions>

Responsibilities

  • Collaborate with stakeholders to understand business and technical requirements, defining impactful ML solutions.

  • Apply advanced ML, AI, and Deep Learning techniques to structured and unstructured data, ensuring best practices to maximize business outcomes.

  • Mentor junior data scientists, lead code reviews, provide feedback on technical designs, and establish best practices for development and implementation.

  • Work closely with software engineers to write application code and deploy models in production using our ML platform.

  • Act as a strategic partner in shaping the future of Data Science at Procore.

Qualifications and Job Requirements

  • 5+ years of experience in ML and AI.

  • Experience developing, training, and optimizing Deep Learning models.

  • Strong background in Natural Language Processing (NLP).

  • Proven experience in developing and managing ML models in production.

  • Ability to deploy large-scale predictive models handling unstructured data.

  • Proficiency in Python and SQL.

  • Strong communication skills, with the ability to explain complex mathematical and statistical concepts to a broad audience.

What We Offer

  • 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.

  • Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.

  • Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.

  • Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.

  • Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.

Why You’ll Like Working Here

  • A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.

  • Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.

  • Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.

Apply now!

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Deep Learning Engineering Machine Learning ML models NLP Pipelines Python SQL Statistics Unstructured data

Perks/benefits: Career development Competitive pay Gear

Regions: Remote/Anywhere North America South America