97 Ofertas de Predictive Analytics en Argentina

Join Howdy to discover a new way of working remotely

At Howdy, we connect top Latin American talent with leading US companies. Unlike other online marketplaces and job platforms, we're a community that cares about people. Our whole ethos is people-first.

What's so different about us?

• We're driven by your well-being: We prioritize your growth and well-being with competitive pay, top-tier equipment, and premium healthcare.
• We're all about direct connections: Work directly with US companies as part of their teams, with no middleman. Build strong relationships and grow professionally.
• We combine the best of both worlds: Enjoy the freedom to work from home with flexible hours - and come to the office whenever you want!
• We care about career growth: Lead teams, apply for management roles, and even pitch to investors! Your growth is our priority.
• We foster a strong community: Get paid, of course. But also, be a part of a welcoming community. Avoid monotony, enjoy your work, and connect with other A-players!

From top tech roles to accounting, marketing, customer support, finance, HR, and operations - we've got opportunities for everyone.

Transform your career with Howdy. Apply today and join us in revolutionizing remote work!

MACHINE LEARNING ENGINEER:

Desired Skills:

• English at an advanced level.
• +5 years of experience building modern web applications.
• +5 years of experience developing with Python, Ruby on Rails and/or Golang.
• +3 years of exp in Machine Learning Engineering with recent emphasis on NLU/NLP and LLMs.
• Strong experience in data-centric backend development, ETL processes and RAG models.

Plus Experience:

• Experience with Generative AI.
  
• Experience with React.JS.
• Experience with PostgreSQL and SQL.
• Experience with ChatGPT APIs, Copilot and/or Anthropic.

Who you are:

• You are a motivated and self-directed engineer who wants to deliver real business value
• You help your team and peers align to the company vision and mission
• You consistently leave code and projects better than you found them

Some benefits:

• Offices in some cities
• ️ 100% remote work
• Full-time schedule, flexible according to objectives
• ️PTO & holidays
• ️Medical insurance

Buscamos un/a profesional apasionado/a por la inteligencia artificial y con experiencia en proyectos innovadores de Generative AI. Si tenés conocimientos en desarrollo y automatización de soluciones basadas en Machine Learning y disfrutás trabajando con tecnologías de última generación, ¡esta oportunidad es para vos!

1. Participar en el desarrollo e implementación de soluciones de Machine Learning y Generative AI.
2. Desarrollar aplicaciones utilizando Python como lenguaje principal.
3. Automatizar procesos para optimizar tareas y mejorar la eficiencia.
4. Colaborar en proyectos que integren servicios avanzados como APIs y plataformas en la nube.

1. Experiencia demostrable en proyectos de Generative AI.
2. Buen nivel de desarrollo en Python.
3. Experiencia en implementación de soluciones de ML y/o GenAI.
4. Experiencia en automatización de procesos.
5. Experiencia con Azure OpenAI Services.
6. Experiencia con Llama 3.2.
7. Experiencia en desarrollo de APIs.
8. Nociones de DevOps.

Inallmedia is a forward-thinking organization committed to leveraging advanced technologies to enhance our software products and applications. Our team is dedicated to implementing cutting-edge AI/ML solutions that drive innovation and efficiency. We are seeking a highly skilled Machine Learning Engineer to join our inception team, a pivotal group that will augment our existing team and spearhead AI/ML initiatives.

The Machine Learning Engineer will be integral to our AI/ML initiative's success. This role involves developing and deploying machine learning models, collaborating with cross-functional teams, and ensuring seamless integration of AI/ML solutions into various software products and applications. The successful candidate will possess a strong background in Python, R, SQL, and Azure, and will be instrumental in allowing the team to grow and achieve its strategic objectives.

• Develop and Implement AI/ML Solutions: Design, develop, and deploy machine learning models and algorithms to solve complex business problems and enhance software products.
• Collaborate with Cross-Functional Teams: Work closely with data scientists, software engineers, product managers, and other stakeholders to integrate AI/ML solutions seamlessly.
• Data Analysis and Management: Conduct thorough data analysis, preprocessing, and management using Python, R, and SQL to ensure high-quality datasets for model training.
• Model Evaluation and Optimization: Evaluate model performance, perform hyperparameter tuning, and optimize models to achieve desired accuracy and efficiency.
• Azure Integration: Utilize Azure cloud services for model deployment, monitoring, and scaling to ensure robust and scalable AI/ML solutions.
• Continuous Improvement: Stay updated with the latest advancements in AI/ML technologies and methodologies, and apply them to enhance existing solutions.

• Proficiency in Python: Extensive experience in developing machine learning models and data analysis using Python.
• Expertise in R: Strong knowledge of R for statistical computing and data analysis.
• SQL Skills: Proficient in SQL for data manipulation, querying, and management.
• Azure Experience: Hands-on experience with Azure cloud services for deploying and managing AI/ML solutions.
• Work Experience: A minimum of 8+ years of work experience in machine learning, data science, or a related field.
• Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• Problem-Solving Skills: Excellent analytical and problem-solving abilities, with a keen eye for detail.
• Collaboration and Communication: Strong collaboration and communication skills to work effectively with cross-functional teams.

Join Our Data Products and Machine Learning Development Remote Startup!

Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.

We’re looking for a Machine Learning Engineer to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect!

What We Do:

1. Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
2. Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
3. Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
4. Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.

Our Partnerships:

• Amazon Web Services
• Google Cloud
• Astronomer
• Kaszek
• Product Minds
• H2O.ai
• Soda

Our values:

• We are Data Nerds
• We are Open Team Players
• We Take Ownership
• We Have a Positive Mindset

Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on!

Responsibilities:

1. Lead Model Productization: Implement MLOps practices for model deployment (orchestration, monitoring, testing).
2. ML POC Development: Collaborate on ML Proof of Concepts for internal and client projects.
3. Model Lifecycle Management: Optimize ML models for performance, memory, and throughput.
4. Translate Business Needs: Convert business requirements into technical solutions, balancing trade-offs.
5. Stay Ahead: Research new ML tools and techniques to enhance our systems.
6. Bridge DS & DE: Connect Data Science and Engineering teams for smooth application development.
7. Plan Projects: Help define project timelines and estimates.
8. Share Knowledge: Document and share best practices across teams.
9. Support Hiring: Participate in technical interviews and evaluations.
10. Safeguard information security, ensuring responsible data usage and compliance with best practices for protection and confidentiality.

We don’t expect you to check every box, but here’s what we’re looking for:

Required Skills:

1. Proven Experience: Experience as ML Engineer
2. AI/ML Expertise: Solid understanding of ML models, deep learning, and statistical analysis.
3. Tech Stack Know-How: Experience with MLOps tools (Airflow, MLflow, DBT) and cloud services (AWS, GCP).
4. Programming Skills: Strong in Python and at least one other language.
5. MLOps: Experience managing model lifecycles and setting up CI/CD pipelines.
6. Collaboration: Team player with strong communication skills.
7. Languages: Intermediate English, Advanced Spanish.

Nice to Have:

1. Modern Data Stack: Familiar with tools like Kafka, DuckDB, Apache Pinot.
2. Cloud AI Services: Hands-on with AWS Sagemaker, GCP Vertex AI.
3. Software Development: Experience with software engineering practices.
4. Problem-Solver: Positive, proactive attitude towards challenges.
5. Consulting Experience: Worked in client-facing roles.
6. Cloud Certifications: AWS, GCP, or related certifications.
7. Python Libraries: Experience with libraries like SQLAlchemy, Great Expectations.

Why Join Us?

At Mutt Data, we offer a remote-first culture with flexibility, autonomy, and awesome benefits:

• Salary in USD (up to 20% bonus).
• Remote-First Culture
• ️️ Gympass or sport club stipend.
• Paid AWS & Databricks Certifications.
• Food credits via Pedidos Ya.
• Birthday off + extra vacation week ( Mutt Week! ).
• Referral bonuses to grow our team.
• ️ Annual Mutters' Trip – Join us for an unforgettable team trip!

Even if you don’t meet every requirement, we’d love to hear from you! Let us know why you think Mutt Data is the next step in your journey.

Apply now and join a team that’s shaping the future of Machine Learning and Data Engineering.

Somos MODO, la fintech de los bancos argentinos que está revolucionando la manera de pagar y ahorrar con promociones en la Argentina. Estamos en el centro del ecosistema de pagos, desarrollando experiencias de pago novedosas en QR, NFC y online con todos los medios de pago, y creando el mejor lugar para hacer y disfrutar promociones. Además, creamos el primer hub de open banking de la Argentina para hacer más simple el manejo de tu plata.

En MODO confluyen los principales bancos, procesadores de pagos, comercios y mucho más. Somos líderes en el cambio de una industria que está atravesando su mayor transformación en la historia, y nuestros productos y tecnologías están en la frontera de la práctica a nivel mundial.

Tenemos el propósito de "Conectar tu dinero y tu mundo para simplificar lo cotidiano" y los moders cuentan con todo lo que necesitan para hacerlo realidad.
Nuestro equipo está siempre en transformación, y hoy necesitamos sumar a un/a Machine Learning Engineer para poder seguir creciendo.

¿Cuáles serán tus principales responsabilidades?

• Diseñar, desarrollar e industrializar soluciones de ML y GenAI como productos de datos robustos, escalables y mantenibles.
• Trabajar junto a Data Scientists, ingenieros de backend, DevOps y DevSecOps, facilitando la integración de modelos y reduciendo la carga técnica de los equipos de ciencia de datos mediante herramientas y automatizaciones.
• Diseñar, implementar y mantener plataformas internas de ML/AI, como SageMaker, MLflow, Feature Store y LLM Gateways, adaptándolas y optimizándolas según las necesidades de producto.
• Participar en proyectos de arquitectura de plataforma, como la creación de un Feature Store y un Customer Data Platform (CDP), definiendo estándares y patrones reutilizables.
• Diseñar y desplegar catálogos de plataforma (ej. a partir de un archivo YAML generar una base vectorial en OpenSearch o Pinecone lista para usar).
• Aplicar herramientas y tecnologías de IA en el día a día para acelerar el desarrollo y en los productos entregados.
• Desarrollar componentes en Python siguiendo buenas prácticas de ingeniería de software (testing, modularidad, CI/CD, documentación).
• Participar en la toma de decisiones técnicas de arquitectura considerando impacto, esfuerzo de implementación y valor para el negocio.
• Elevar el estándar técnico del desarrollo de soluciones ML/GenAI en la compañía, compartiendo buenas prácticas y herramientas con otros squads.

¿Qué esperamos de vos?

• Experiencia sólida en desarrollo Python aplicado a soluciones de datos, siguiendo principios de ingeniería de software (modularización, testing, CI/CD).
• Conocimiento práctico de MLOps: MLflow, SageMaker, Feature Store, deployment de modelos, control de versiones, pipelines CI/CD.
• Experiencia colaborando con Data Scientists y perfiles técnicos (backend, infraestructura, DevOps).
• Capacidad para desarrollar y mantener soluciones en entornos Docker y Kubernetes.
• Conocimientos de infraestructura como código (Terraform) y monitoreo con Datadog u otras herramientas de observabilidad.
• Familiaridad con la integración de soluciones ML/GenAI en entornos productivos (APIs, backend, automatizaciones).
• Sólida comprensión de los requerimientos técnicos y organizacionales para escalar desde un prototipo a una solución productiva.
• Excelentes habilidades de comunicación y trabajo en equipo.

Será deseable que cuentes con:

• Conocimiento de CDPs (Customer Data Platforms) y arquitecturas orientadas a producto de datos.
• Experiencia en diseño o uso de Feature Stores (como SageMaker Feature Store) y su integración en flows de entrenamiento/inferencia.
• Conocimiento de arquitecturas de datos/AI en AWS (Sagemaker, Bedrock, S3, Lambda, Glue, EventBridge).
• Familiaridad con arquitecturas DataMesh y herramientas como Snowflake.
• Experiencia participando en soluciones de GenAI (embeddings, RAG, prompting avanzado).
• Background como Data Engineer o experiencia trabajando con procesamiento de datos a escala es un plus.
• Participación en iniciativas de mejora de estándares técnicos dentro de equipos o compañías.

¿Qué ofrecemos?

• 10 días hábiles de vacaciones + 5 días MODO.
• Prepaga para vos y tu grupo familiar.
• Reintegro en app MODO para almuerzos y traslado.
• Membresía en Gympass y descuento en Sport Club para actividad física.
• Licencias extendidas (por matrimonio, maternidad, paternidad y otras).
• Plataforma de capacitaciones y descuentos en universidades para perfeccionar y expandir tus conocimientos.
• Plataforma de idiomas (Inglés o portugués).
• Reintegro por gastos de Internet.
• Día de cumpleaños libre y medio día por cumpleaños de hijos/as.
• Actividades de team building.
• Club de Beneficios.
• Posibilidad de desarrollarte en un ambiente flexible, dinámico y en pleno crecimiento.
  

Si te interesa trabajar en un equipo ágil y autónomo dentro de una compañía desde su concepción, donde el margen de acción de cada rol es gigante, ¡te esperamos!

We’re looking for a Machine Learning Engineer to join our growing Data & AI team. In this role, you’ll help design, build, and deploy intelligent models and ML-powered workflows that solve real-world challenges at scale. You’ll work closely with data engineers, product owners, and AI specialists to turn ideas into production-ready solutions, embedding AI seamlessly into business processes.

What You’ll Do:

• Model Development: Design, train, and refine machine learning models that tackle real business problems, ensuring they scale effectively in production environments.

• Data Pipeline Engineering: Build and maintain robust data ingestion, preprocessing, and transformation pipelines for diverse data sources (structured and unstructured).

• AI Workflow Integration: Contribute to end-to-end ML workflows—from serving and monitoring models to evaluating and iterating on their performance.

• Advanced AI Techniques: Apply state-of-the-art approaches, including transformers, LLMs, RAG, embeddings, vector databases, predictive modeling, and reinforcement learning, to push the boundaries of what’s possible.

• Model Monitoring & Optimization: Support ongoing evaluation and tuning of models to improve accuracy, efficiency, and reliability in production.

• MLOps: Help establish best practices for CI/CD, testing, and automated deployment of AI models.

• Agile Collaboration: Partner effectively with cross-functional teams in an agile setting, contributing to sprint planning, reviews, and collaborative problem-solving.

What You Bring:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.

• 3+ years of experience in machine learning engineering, applied AI development, or a similar role.

• Strong, hands-on experience with ML frameworks such as TensorFlow or PyTorch, from prototyping to deployment.

• Familiarity with cloud platforms (AWS, Azure, or Databricks) and experience delivering solutions at scale.

• Solid understanding of working with large, complex datasets spanning structured and unstructured formats.

• Sharp analytical and problem-solving skills with attention to data quality and model performance metrics.

• Strong communication and collaboration abilities—you’re a team player who can explain technical concepts clearly and drive projects forward.

About Nimble Gravity

Nimble Gravity is a team of outdoor enthusiasts, adrenaline seekers, and experienced growth hackers. We love solving hard problems and believe the right data can transform and propel growth for any organization.

Nimble Gravity is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics or any other basis forbidden under federal, state, or local law. Nimble Gravity considers all qualified applicants.

H1B Sponsorship not available for this position

Title: Machine Learning Engineer

Job Type: Full-Time

Location: Remote - Any Location

Company Description:

Mechanized AI is at the forefront of AI innovation, leveraging cutting-edge technology to transform legacy systems into modern, efficient, and scalable solutions. We work with enterprise clients to breathe life into their existing software, ensuring that they can meet the demands of today’s fast-paced, digital landscape. Our team thrives on solving complex challenges and delivering innovative solutions. As an organization, we are committed to fostering an environment that encourages creativity, collaboration, and continuous learning.

Job Summary:

We are seeking an experienced Machine Learning Engineer to join our growing team.

The ideal candidate will have a background in Machine Learning (ML) with at least four years of experience outside of academia. They must be passionate about AI and stay up to date with the latest developments in the field.

Key Responsibilities:

• Contribute to building and enhancing our Mechanized AI platform and AI-enabled products including mAI Modernize
• Serve as ML SME on client projects as needed
• Design ML systems
• Research and implement appropriate ML algorithms and tools
• Select appropriate datasets and data representation methods
• Run ML tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Stay current with emerging technologies and ML best practices to continuously improve our methodologies and tools

Required Skills & Experience:

• 4+ years of ML experience at a start-up or larger enterprise – high priority
• 6+ months of experience with Large Language Models (LLMs) and Generative AI (GenAI) applications – high priority
• Client delivery experience – high priority
• Effective written and oral communications skills (C1/C2 - advanced/proficient level English is required) – high priority
• Bachelor’s degree in computer science, software engineering or related field
• Experience with cloud environments (e.g., AWS, Azure, GCP)
• Experience with ML frameworks and libraries (TensorFlow, PyTorch, Keras, scikit-learn)
• Experience developing, deploying, and managing/monitoring models
• Knowledge of containerization technologies (e.g., Docker, Kubernetes) and microservices architecture
• Expertise in Object-Oriented Programming (OOP) principles and unit test-driven development methodologies
• Advanced experience in NLP techniques and applications
• Strong proficiency in Python programming
• Familiarity with prompt engineering approaches and best practices
• Knowledge of data structures, data modeling, and software architecture
• Strong analytical and problem-solving skills, with ability to propose innovative solutions and troubleshoot issues
• Ability to work independently and as part of a collaborative team in a fast-paced environment

Preferred Qualifications:

Experience in any of the following:

• Agent development
• Data privacy
• Fine tuning LLMs
• LLM architecture and techniques for performance
• MLOps
• ML evaluation
• Model decay and data drift detection and handling
• Pulumi, Terraform and/or Cloud SDKs
• PySpark
• Quantization
• Retrieval-augmented generation (RAG) optimization
• Security
• Vector databases

Company Description

Talan is an international advisory group on innovation and transformation through technology, with 5000 employees, and a turnover of 600M€. We offer our customers a continuum of services to support you at each key stage of your organization's transformation, with 4 main activities:

• CONSULTING in management and innovation : supporting business, managerial, cultural, and technological transformations.
• DATA & TECHNOLOGY to implement major transformation projects.
• CLOUD & APPLICATION SERVICES to build or integrate software solutions.
• SERVICE CENTERS of EXCELLENCE to support the latter through technology, innovation, agility, sustainability of skills and cost optimization.

Talan accelerates it's clients' transformation through innovation and technology. By understanding their challenges, with our support, innovation, technology and data, we enable them to be more efficient and resilient.

We believe that only a human oriented-practice of technology will make the new digital age an era of progress for all. Together let's commit!

Job Description

What would you be doing?

We need someone to help our client on different projects.

Responsibilities:

• Data acquisition and quality improvement through ETL processes.
• Production deployment of models in heterogeneous environments (APIs, pipelines, automations, chatbots, etc.).
• Optimization of Python and Spark code.
• Cloud tasks (Azure and AWS).
• Administration of Linux machines.

Qualifications

What we are looking for?

Experience:

• Experience in managing Linux environments.
• Knowledge of Cloud services (Azure and AWS).
• Familiarity with supervised (regression, random forest, SVM, etc.) and unsupervised (PCA, clustering, etc.) machine learning models.
• Strong proficiency in Python and/or Java.
• Experience in API development.
• Experience with orchestration, CI/CD pipelines, and containerization (Docker, Kubernetes).
• Spanish (B2), English (B2)

Additional Information

What do we offer you?

• Full-time contract
• Smart Office Pack so that you can work comfortably from home.
• Training and career development
• Benefits and perks such as private medical insurance, life insurance, lunch and travel cards as part of the flexible remuneration package
• Possibility to be part of a multicultural team and work on international projects
• Hibrid position based in Málaga, Spain. Realocation is mandatory
• Possibility to manage work-permits.

If you are passionate about development & tech, we want to meet you!

WHO WE ARE

SQUIRE is the leading business management system designed for the needs of barbers, shop owners, and their communities. We believe the pursuit of artistry and autonomy should not be restricted by the complexities of running a business. With SQUIRE, we provide custom-branded tools, resources, and guidance to help barbers of all stages and experience levels attract and retain more customers, efficiently manage their shop operations, and increase their revenue.

Founded in 2015, SQUIRE is trusted by barbers in 4,000+ shops in more than a thousand cities around the globe. From streamlined booking and opening new shops to real-time earning dashboards and building lasting customer relationships, SQUIRE supports shop owners in seamlessly bridging the gap between their personal craft and business goals. SQUIRE enables barbers everywhere to unlock their full potential both as artists and as entrepreneurs.

For more information, please visit getsquire.com or download the SQUIRE app from the App or Play Store.

We’re hiring a Machine Learning Engineer to embed into our product teams and own the entire ML lifecycle—from prototype to production. This is not a role for model research or experimentation in a vacuum. We're looking for an engineer who thrives on taking state-of-the-art ML (especially LLMs and AWS-based solutions) and transforming it into deployed, maintainable, and scalable real-world systems that power SQUIRE’s products. If you’re passionate about building practical ML applications and turning ideas into shipping features, this role is for you.

• Own the full ML lifecycle for product features—from ideation to deployment, observability, and iteration
• Use off-the-shelf models (e.g. in AWS SageMaker, Bedrock, Comprehend, HuggingFace) to solve core user and business problems
• Build and maintain robust, scalable ML pipelines and infrastructure (batch and real-time)
• Work cross-functionally with product managers, designers, and backend engineers to ship ML-powered features
• Drive productionization: model inference, latency tuning, monitoring, logging, and failure recovery
• Continuously evaluate and integrate emerging models (especially LLMs) to improve accuracy and capabilities
• Bring an engineering mindset to ML work—automate processes, reduce tech debt, and champion good software practices in the ML stack

The duties and responsibilities outlined above are not a comprehensive list, and additional tasks may be assigned based on business needs.

• 3+ years of experience in machine learning engineering, ideally within a product-oriented tech team
• Strong software engineering background with experience writing clean, scalable, and maintainable code in Python
• Hands-on experience using cloud-based ML services (especially AWS) and pre-trained models in production
• Experience with modern deployment stacks and MLOps: CI/CD, model versioning, monitoring, etc
• A pragmatic mindset—you value impact, simplicity, and reliability over academic perfection

• Experience integrating LLMs into products via APIs or fine-tuning
• Familiarity with React Native applications or full-stack development environments
• Prior work in consumer or SMB-facing products.

• Work on impactful, customer-facing features powered by machine learning
• Help shape our AI-first engineering culture
• Enjoy autonomy and ownership over your domain with the support of an exceptional engineering team
• Competitive salary, equity, and benefits in a high-growth, mission-driven company

Interview Accommodations

SQUIRE is committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are an individual with a disability requiring an accommodation to apply for an open position, please email your request to and someone on our team will respond to your request.

Equal Employment Opportunity

SQUIRE provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Pay Transparency Nondiscrimination Provision

SQUIRE will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.