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:

• Design and maintain CI/CD pipelines for ML model training, packaging, and deployment across our microservices.
• Manage containerized services on AWS ECS, optimizing for cost, latency, and availability.
• Automate infrastructure provisioning and service configuration with Terraform.
• Work to maintain and scale services that make use of third party LLM providers.
• Build and improve data pipelines that feed models from BigQuery, S3, and DynamoDB into training and inference workflows.
• Instrument services with observability tooling (Datadog, OpenTelemetry, Langfuse) and establish SLOs for model-serving endpoints.
• Collaborate with ML engineers to productionize new models using BentoML, FastAPI, and container-based serving.

About You:

• 2-3 years in ML Ops supporting ML/AI features, systems and workflows with 3-4 years prior experience in DevOps, CloudOps or SRE.
• Strong proficiency in Python.
• Hands-on experience with Docker containerization and container orchestration.
• Solid understanding of CI/CD for ML workflows in an enterprise production environment.
• Experience with Infrastructure as Code, preferably Terraform.
• Familiarity with cloud platforms — specifically AWS (ECS, ECR, S3, DynamoDB, CloudWatch) and GCP (BigQuery, Vertex AI).
• Experience with LLM integration and observability (OpenAI API, Google GenAI, Langfuse tracing).
• Experience building and maintaining data pipelines for ML training and feature engineering
• Familiarity with ML modeling workflows — training, evaluation, experiment tracking (e.g. MLFlow, Weights & Biases), and model versioning
• Experience monitoring and flagging model drift over time.
• Exposure to NLP/NLU models and frameworks such as Hugging Face Transformers, spaCy, or sentence-transformers
• Knowledge of vector databases (LanceDB, FAISS) and embedding-based retrieval systems
• Experience with scaling and maintaining deep learning frameworks (TensorFlow, PyTorch) in production settings
• Familiarity with classical ML libraries (scikit-learn, XGBoost, LightGBM) and model explainability tools (SHAP)
• Working knowledge of ML serving frameworks such as BentoML or similar.
• Comfort working with FastAPI or similar async Python web frameworks.

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits

About Newsela:

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

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

• Design and implement machine learning models to solve HR-specific challenges (e.g., intelligent automation, anomaly detection, personalized experiences)
• Collaborate with product managers and engineers to bring AI features to life across the platform
• Develop and optimize data pipelines to support model training and inference
• Research and apply NLP, LLMs, and other AI/ML technologies to streamline and improve HR workflows
• Monitor model performance and retrain/improve based on feedback and usage
• Build scalable AI solutions using cloud-native tools (preferably AWS)
• Contribute to data governance, ethical AI use, and compliance

What You’ll Bring

• 4–6+ years of experience as an AI/ML Engineer or Data Scientist, ideally with startup or SaaS exposure
• Strong understanding of supervised/unsupervised learning, NLP, neural networks, and generative AI
• Proficiency with Python and ML frameworks like TensorFlow, PyTorch, Hugging Face, or similar
• Experience deploying models in production using cloud platforms like AWS Sagemaker, GCP Vertex AI, or Azure ML
• Experience with data versioning, MLOps, and model lifecycle management
• Ability to work autonomously and thrive in a startup environment
• Familiarity with HR tech, payroll, or workforce data is a plus

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 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

• Model Development: Support the implementation of machine learning models, assisting with data preprocessing, feature engineering, model training, and evaluation.
• Statistical Analysis: Apply techniques such as regression, classification, clustering, and anomaly detection to solve business and operational problems.
• AI Innovation: Assist in developing applications using Generative AI (LLMs, prompt engineering, embeddings, or Retrieval-Augmented Generation).
• Integration: Work with APIs and backend services to integrate ML and AI models into internal systems.
• Workflow Optimization: Support the development of scalable ML workflows and data pipelines for experimentation and training.
• Cross-functional Collaboration: Partner with data engineers, DevOps and software developers to support the deployment and monitoring of models.
• Code Quality: Write clean, well-documented code using Python and SQL.
• Data Storytelling: Prepare visualizations and reports to communicate insights and results to both technical and non-technical stakeholders.

Required Qualifications

• Professional Experience: 3+ years working with Python in data science, analytics, or machine learning projects.
• 3 + years experience using Computer Vision models like YOLO
• Database Skills: Practical experience with SQL for querying and analyzing large datasets.
• ML Frameworks: Experience supporting ML models using libraries such as scikit-learn, PyTorch, or TensorFlow.
• Data Processing: Familiarity with data processing or streaming pipelines (e.g. Apache Beam, Google Cloud Dataflow, Spark, or similar frameworks).
• Forecast
• Technical Literacy: Familiarity with REST APIs, web services, Generative AI concepts and frameworks (LLMs, RAG-based systems, LangChain, ADK, Llama-index).
• English proficiency (B2 level or higher).

Preferred Qualifications

• Version Control: Experience with Git and version control practices.
• Cloud & DevOps: Exposure to cloud environments (GCP, AWS, or Azure) and MLOps concepts (CI/CD, Docker, Kubernetes, or MLflow).
• Agile Mindset: Experience working in Agile development environments.
• Portfolio: Personal projects, research, or AI experimentation that demonstrate initiative and curiosity.

What We Value

• Curiosity: A strong desire for continuous learning and exploring new tools in AI/ML.
• Initiative: A self-driven approach to developing skills and solving technical hurdles.
• Persistence: The ability to iterate through complex challenges toward effective solutions.
• Ownership: Accountability for technical tasks and a collaborative, supportive mindset.

  We offer:

• Statutory & Major benefits
• Personal Growth
• Competitive salary
• Attractive benefits plan

Come and meet us on: http://www.neoris.com, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.

Marina Molina

#LI-MM3

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 

• Design, build, and deploy scalable machine learning models and pipelines across the full ML lifecycle
• Develop and optimize data processing workflows using Python, SQL, and distributed frameworks such as PySpark
• Deploy and monitor machine learning models in cloud environments, ensuring performance, reliability, and scalability
• Collaborate with cross-functional teams to translate business problems into data-driven solutions and improve model performance

Qualifications and Skills 

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field, or equivalent practical experience
• 5+ years of experience as a Machine Learning Engineer with a focus on deploying and scaling ML systems
• Strong proficiency in Python, SQL, and PySpark for large-scale data processing
• Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or XGBoost
• Experience designing and managing end-to-end ML pipelines using tools such as MLflow or similar
• Experience deploying models in cloud platforms such as AWS, GCP, Azure, or Databricks
• Strong understanding of MLOps practices including CI/CD, model versioning, and automated retraining
• Experience working with containerized environments and Kubernetes for ML workloads
• Ability to design evaluation metrics and validate model performance effectively
• Strong communication and collaboration skills to work with cross-functional teams and stakeholders

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.  

NEORIS 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:

• Experto en analizar, interpretar y transformar datos en información accionable para la toma de decisiones estratégicas. Combina habilidades en estadística, programación y conocimiento del negocio para desarrollar modelos predictivos, identificar patrones y resolver problemas complejos utilizando datos.

Requerimientos:

• Experiencia entre 2 a 4 años como Data Scientist
• Experiencia con lenguajes de programación como Python, R o Julia.
• Conocimiento en herramientas y bibliotecas de aprendizaje automático (TensorFlow, Scikit-learn, PyTorch).
• Experiencia en manejo de bases de datos (SQL, NoSQL) y herramientas de big data (Spark, Hadoop).
• Competencia en estadística, probabilidad y matemáticas avanzadas.
• Habilidades en herramientas de visualización (Tableau, Power BI, matplotlib, Seaborn).
• Deseable un posgrado o certificaciones en Ciencia de Datos o campos afines.
• Certificaciones recomendadas: Google Data Scientist Professional, Microsoft Certified: Data Scientist Associate o similares.

Ofrecemos:

• Salario competitivo.
• Medicina prepagada.
• NEORIS Days (3 días libres).
• Bonificación por cumplimiento anual.
• Bono vacacional.
• Herramientas corporativas.
• Plataformas de capacitación y entrenamiento.
• Trabajo remoto

Te invitamos a conocernos en http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.

Manuel Lunahuana

(LI-ML2)

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

• Tertiary qualifications in Data Science, Analytics, Engineering or related fields; postgraduate qualifications are highly regarded.
• 8+ years of experience in Data Science, Machine Learning, or Advanced Analytics.
• 3+ years in technical leadership or lead role.
• Strong understanding of statistical modeling, predictive analytics, and experimentation methodologies, with strong proficiency in Python, ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms (GCP, AWS, or Azure).
• Proven experience with MLOps practices, CI/CD, Docker, Kubernetes, or similar.
• Leadership and people management skills, with experience guiding diverse teams and developing talent.
• Strong communication skills and ability to engage both technical and non-technical stakeholders.
• Englis level: Advanced 

  We offer:

• Statutory & Major benefits
• Personal Growth
• Competitive salary
• Attractive benefits plan

Come and meet us on: http://www.neoris.com, on Facebook, LinkedIn, Twitter, or Instagram @NEORIS.

Marina Molina

#LI-MM3