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Why You'll Love This Role:
We're looking for an experienced ML Ops Engineer to join the ML/AI team at Newsela. This team works on projects ranging from classical Machine Learning to AI / Generative pipelines. This is a hands-on role. You'll work closely with ML/AI, data and site reliability engineers to take models from prototype to production, build robust data pipelines, and keep our services running smoothly as we continue to scale.
What You'll Be Doing:
About You:
Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits
Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.
#LI-Remote
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Apply to Newsela
We’re looking for a highly skilled AI Engineer to help us design, build, and scale intelligent systems across our next-generation global HR Tech platform. As an early-stage startup, we’re looking for someone who thrives in dynamic environments, is passionate about automation and AI-driven innovation, and brings hands-on experience developing AI/ML solutions within enterprise-grade SaaS platforms.
You’ll work cross-functionally with product, data, and engineering teams to develop models that improve user experience, automate decision-making, and support smart HR and payroll solutions. This role reports directly to the Head of Engineering.
What You’ll Do
What You’ll Bring
Ready to apply?
Apply to GloballiNEORIS is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world. We have more than 4,000 professionals in 11 countries, with our multicultural startup culture where we cultivate innovation, continuous learning to create high-value solutions for our clients.
We are looking for a motivated Mid level Data Scientist with experience in Python, statistical analysis, and machine learning to support the development of data-driven and AI-powered solutions. In this role, you will collaborate with senior data scientists, engineers, and business stakeholders to analyze data, build predictive models, and contribute to scalable analytics and AI applications.
This is a great opportunity for a data professional to grow their expertise in Machine Learning, Generative AI, and modern data science practices while working on real-world business problems. You will gain hands-on experience building models and applications that support production environments.
Key Responsibilities
Required Qualifications
Preferred Qualifications
What We Value
We offer:
Come and meet us on: http://www.neoris.com, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.
Marina Molina
#LI-MM3
Ready to apply?
Apply to NEORIS
Important Information
Location: Colombia
Work Mode: Hybrid
Job Summary
As a Senior Machine Learning Engineer (20529), you will be responsible for designing, developing, and maintaining high-quality software solutions. You will collaborate with cross-functional teams to understand business requirements and translate them into scalable and efficient software applications. Your role will involve leading technical projects, mentoring junior engineers, and continuously improving software development practices to ensure the delivery of robust and reliable software systems.
Responsibilities and Duties
Qualifications and Skills
About Encora
Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.
At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Ready to apply?
Apply to EncoraNEORIS es un acelerador Digital que ayuda a las compañías a entrar en el futuro, teniendo 20 años de experiencia como Socios Digitales de algunas de las mayores compañías del mundo. Somos más de 4,000 profesionales en 11 países, con nuestra cultura multicultural de startup en donde cultivamos innovación, aprendizaje continuo para crear soluciones de alto valor para nuestros clientes.
Estamos en búsqueda de Data Scientist
Principales responsabilidades:
Requerimientos:
Ofrecemos:
Te invitamos a conocernos en http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.
Manuel Lunahuana
(LI-ML2)
Ready to apply?
Apply to NEORIS
NEORIS is a Digital accelerator that helps companies enter the future, having 20 years of experience as Digital Partners of some of the largest companies in the world. We have more than 4,000 professionals in 11 countries, with our multicultural startup culture where we cultivate innovation, continuous learning to create high-value solutions for our clients.
We are seeking a highly experienced Data Scientist Senior to drive the technical vision, architecture, and delivery of advanced analytics and AI/ML solutions. This role combines deep hands-on data science expertise with strong technical leadership and stakeholder management skills.
Key Responsibilities
Define and lead the technical strategy and architecture for scalable, production-ready data science and AI solutions, including selecting appropriate frameworks, tools, and cloud platforms; establishing best practices for model lifecycle management; and ensuring solutions are secure, maintainable, and aligned with enterprise architecture standards.
Lead the design and implementation of machine learning, statistical, and predictive models, overseeing the full lifecycle from data exploration and feature engineering to model training, validation, tuning, and performance optimization, ensuring models are explainable, robust, and aligned with measurable business KPIs.
Oversee the development of advanced AI solutions, including Generative AI and LLM-based systems when applicable, guiding architecture decisions for RAG pipelines, prompt engineering strategies, evaluation frameworks, and integration of AI components into enterprise applications and workflows.
Collaborate with multi-disciplinary teams across strategy, technology, and industry to deliver integrated transformation outcomes.
Lead and mentor Data Scientists, ML Engineers, and Analysts, building capability and fostering a culture of excellence.
Required Qualifications
We offer:
Come and meet us on: http://www.neoris.com, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.
Marina Molina
#LI-MM3
Ready to apply?
Apply to NEORIS
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