Senior Machine Learning Engineer - Technology Company

LatAm

Truelogic

Truelogic Software offers premium nearshore software development services to American companies. Find the perfect solution for your company today! +1 (786) 708 4447

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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

A global technology-first agency network specializing in digital transformation and AI-driven solutions. The company partners with businesses to navigate emerging technologies, consumer behavior shifts, and AI advancements. With a balance of creative and engineering expertise, they work across the entire consumer journey, solving complex challenges for leading enterprises in various industries.


Job Summary

The Machine Learning Engineer will play a key role in driving AI initiatives by collaborating with data scientists and business stakeholders to identify and implement AI use cases. This role involves designing and developing machine learning models, selecting appropriate AI technologies, and ensuring seamless integration with existing data and analytics tools. The ideal candidate will have expertise in AI architecture, model training, cloud and on-premises deployment, and risk mitigation strategies to ensure ethical and secure AI implementation.

Responsibilities

  • Collaborate with cross-functional teams to define AI use cases and translate business objectives into technical solutions.

  • Develop and implement machine learning and deep learning models to enhance digital transformation efforts.

  • Oversee data collection, preprocessing, and feature engineering for high-quality AI model inputs.

  • Train, fine-tune, and evaluate models using large datasets and appropriate performance metrics.

  • Architect AI infrastructure, selecting the best tools and frameworks for scalability and efficiency.

  • Build rapid prototypes and proof of concepts (POCs) to validate AI solutions.

  • Lead deployment and integration of AI solutions into production environments.

  • Work with security and risk teams to mitigate threats such as model theft and adversarial attacks.

  • Stay updated on AI regulations and best practices, ensuring ethical AI implementation.

  • Provide technical leadership, mentorship, and guidance to AI teams.

Qualifications and Job Requirements

  • Proven experience as a Machine Learning Engineer, AI Engineer, Data Engineer, or AI Architect.

  • Strong programming skills in Python, Java, or C++, with expertise in AI frameworks like TensorFlow, PyTorch, and scikit-learn.

  • Deep understanding of machine learning techniques, algorithms, and model evaluation.

  • Familiarity with big data technologies, cloud platforms, and distributed computing.

  • Effective communication skills to engage with both technical and non-technical stakeholders.

  • Experience leading AI projects, mentoring teams, and driving innovation.

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: Architecture Big Data Deep Learning Engineering Feature engineering Java Machine Learning ML infrastructure ML models Model training Python PyTorch Scikit-learn Security TensorFlow

Perks/benefits: Career development Competitive pay Gear Startup environment

Regions: Remote/Anywhere North America South America

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