2.926 Ofertas de Ai Research en Argentina

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.

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.

Seleccionamos para empresa líder en su sector, Machine Learning Specialist.

Jornada híbrida en Palermo.

En el área de #Innovación vas a:

• Detectar oportunidades de aplicación de herramientas de Machine Learning.
• Liderar la estrategia del laboratorio de Machine Learning.
• Identificación de comportamiento de los clientes (social listening y clustering) y acciones de CRM.
• Orientar los proyectos internos y/o con externos para generar aplicaciones concretas mediante algoritmos.
• Permitir mediante algoritmos sistematizar y automatizar decisiones del negocio.
• Liderar la creación de modelos predictivos, incluyendo: Datasets de entrenamiento del modelo, Definir de BBDDs en conjunto con el área de Desarrollo de Sistemas, Definir y validar junto a Data Scientist el modelo de predicción de problemáticas, Asegurar que los resultados de las predicciones estén disponibles en un sitio accesible y actualizadas.

Valoramos:

• Ser estudiantes avanzados/as o profesionales Data Scientist, Ciencias Exactas, Actuario/Economía, Estadística, Sistemas, Ingeniería.
• Se requiere contar con experiencia en el área de Data Science y el desarrollo de modelos de Machine Learning.
• Gran capacidad de trabajo en equipo, análisis, proactividad y orientación a resultados.
• Poseer conocimientos de Inglés (avanzado)
• Conocimientos de estadística avanzada. Algoritmos de Machine Learning. Lenguaje Phyton y/o R. Conocimientos generales de SQL, Octave o Matlab. Paquete Office (PowerPoint, Word, Excel, Power Pivot).
• Ser parte de una compañía en constante expansión
• Compartir conocimiento, tener oportunidades de aprendizaje y desarrollo profesional.
• Ser parte de una comunidad que nos inspira a ir por más, promoviendo el talento individual y potenciando el rendimiento del equipo.
• Un excelente clima de trabajo en un entorno donde se respira libertad e igualdad.

Tu bienestar primero. Medicina privada & Descuento en gimnasios.

Experiencias flexibles para vos. Esquema híbrido, horarios flexibles, 3 semanas de vacaciones, workanywhere, 1/2 days off, birthday off y más.

Contagiamos energía positiva. Celebramos juntos y disfrutamos beneficios corporativos en fechas especiales.

Impulsamos tu desarrollo. Descuento en plataformas de idiomas (inglés & portugués), alianzas con universidades y centros de formación.

Acompañamos momentos únicos. Licencias familiares ampliadas maternidad, paternidad & procesos adoptivos.

Creamos una red de beneficios. Descuento en marcas amigas

Has trabajado con herramientas de Machine Learning?*

Contas con experiencia en el área de data Science y el desarrollo de modelos de Machine Learning?*

Indicar tu nivel de inglés: Bajo Promedio Intermedio Avanzado

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.

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). We provide a full-range of AWS services including workload migrations and modernization, cloud native application development, DevOps, data engineering, security and compliance, and everything in between.

At Caylent, our people always come first. We are a global company and operate fully remote with employees in Canada, the United States, and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien!

We are seeking an exceptional Machine Learning Architect to join our growing Cloud Data Engineeringteam. The right candidate is someone who has deep expertise in ML system design and is passionateabout working with our customers, partners, and colleagues to drive innovation forward.Your mission will be to work alongside Caylent’s Engineers, Engineering Managers, and ProjectManagers to deliver AWS solutions across our diverse and forward-thinking customer base. You’ll workwith the latest technologies and support customers looking to bring cutting-edge ideas to market.

• You will be a mission control specialist, guiding Cayliens and Customers alike through Agileceremonies like stand-ups, retrospectives, and more.
• You will translate customer requirements and into a workable backlog of tickets for engineers.
• Delegate tickets to a team of engineers in order to complete customer projects.
• Lead requirements gathering, backlog grooming, and architecture discussions.
• Apply your understanding of DevOps pipelines, including build automation, branching strategies,CI/CD, Infrastructure as Code, security, monitoring, logging, and alerting.
• Troubleshoot and resolve issues in customer dev, test, and production environments.
• Automate software testing at multiple levels (component, configuration item, subsystem,system) and monitor results.
• Write production quality code, including unit and integration tests.
• Work with a team to deliver top-quality cloud native applications on AWS for customers.
• Clearly communicate and document your designs, processes, and procedures.
• You will demonstrate a passion to Stay Curious as you mentor peers, tackle new technologies,and learn from our word-class team of engineers.
• Coach and mentor less experienced teammates, coach and be mentored by world classengineers.

Core Consulting Qualifications

Customer Experience

• Confidently addresses client questions and identifies gaps in requirements with proposed next steps.
• Focus on delivering clear, actionable solutions that meet client goals
• Facilitates alignment across stakeholders or technical priorities and deliverables.
• Navigates differing perspectives with professionalism to ensure shared understanding and progress.

Communication

• Breaks down complex technical concepts for non-technical audiences in a clear, concise manner.
• Adapts communication style based on audience and context to improve clarity and decision-making.

Technical Qualifications

• Experience with IaC tools (CloudFormation, CDK, Terraform).
• Expert level experience in Amazon SageMaker and ML libraries (TensorFlow, MXNet, PyTorch,Scikit-learn).
• Strong understanding of ML concepts: feature engineering, hyperparameter tuning, optimizationstrategies.
• Familiarity with MLOps tools (MLflow, Neptune, Comet).
• Pay in USD
• Generous holidays and flexible PTO
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

This role may require up to 25% travel, depending on business needs.

Caylent is a place where everyone belongs . We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.

Caylent is a place where everyone belongs . We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.

Create a Job Alert

Interested in building your career at Caylent? Get future opportunities sent straight to your email.

indicates a required field

First Name *

Last Name *

Email *

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Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

LinkedIn Profile

At Caylent, we are dedicated to creating a diverse and inclusive workplace. To support our efforts in fostering a more equitable recruitment process, we invite you to share your gender identity voluntarily. This information is optional and will be kept confidential, used only to help us track and improve our diversity initiatives. If you prefer not to answer, you're welcome to select "Prefer Not to Respond". * Select.

Direct message the job poster from GlobalPros

Are you a talented Data Scientist (including AI/ML Researcher, AI/ML Engineer, Data Engineer, ML Ops Engineer, QA Engineer with AI/ML focus, NLP Engineer, LLM Engineer),

• Looking for your next big challenge working remotely, OR
• Employed , but open to offers from elite US companies to work remotely?

Submit your resume to GlobalPros.ai , an exclusive community of the world’s top pre-vetted developers, dedicated to matching you with US employers.

GlobalPros.ai is followed internationally by over 13,000 employers, agencies, and top developers worldwide.

We are currently seeking a full-time AI/ML developer (including AI/ML Researcher, AI/ML Engineer, Data Engineer, Data Scientist, ML Ops Engineer, QA Engineer with AI/ML focus, NLP Engineer) to work remotely for US clients.

What We Offer:

• Competitive Compensation . Negotiable and based on experience and expertise.
• Pre-vetting . Increases your chances of hiring by 2x, according to recent studies by Indeed and LinkedIn.
• Shortlist advantage . Our machine learning technology matches you precisely to job requirements, and pre-vetting helps you get shortlisted faster.
• Personalized career support . Free career counseling and interview prep to help you succeed.
• Anonymity . If employed but open to offers, your profile remains anonymous until you agree to an interview, minimizing risk.

We're Looking For:

• Experience . Minimum of 3 years .
• Role . AI/ML developer (including AI/ML Researcher, Engineer, Data Scientist, QA, NLP, LLM).
• Availability . Full-time (40 hours/week).
• Assessment . Willingness to participate in an assessment test, which enhances your chances of rapid, higher-paying placement.

• Not specified

• Full-time

• Information Technology and Engineering

• Software Development, IT Systems, Custom Software, IT Services, and Consulting

Referrals can double your chances of interviewing at GlobalPros.

Get notified about new Machine Learning Engineer jobs in Argentina .

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). We provide a full-range of AWS services including workload migrations and modernization, cloud native application development, DevOps, data engineering, security and compliance, and everything in between.

At Caylent, our people always come first. We are a global company and operate fully remote with employees in Canada, the United States, and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien!

We are seeking an exceptional Machine Learning Architect to join our growing Cloud Data Engineeringteam. The right candidate is someone who has deep expertise in ML system design and is passionateabout working with our customers, partners, and colleagues to drive innovation forward.Your mission will be to work alongside Caylent’s Engineers, Engineering Managers, and ProjectManagers to deliver AWS solutions across our diverse and forward-thinking customer base. You’ll workwith the latest technologies and support customers looking to bring cutting-edge ideas to market.

• You will be a mission control specialist, guiding Cayliens and Customers alike through Agileceremonies like stand-ups, retrospectives, and more.
• You will translate customer requirements and into a workable backlog of tickets for engineers.
• Delegate tickets to a team of engineers in order to complete customer projects.
• Lead requirements gathering, backlog grooming, and architecture discussions.
• Apply your understanding of DevOps pipelines, including build automation, branching strategies,CI/CD, Infrastructure as Code, security, monitoring, logging, and alerting.
• Troubleshoot and resolve issues in customer dev, test, and production environments.
• Automate software testing at multiple levels (component, configuration item, subsystem,system) and monitor results.
• Write production quality code, including unit and integration tests.
• Work with a team to deliver top-quality cloud native applications on AWS for customers.
• Clearly communicate and document your designs, processes, and procedures.
• You will demonstrate a passion to Stay Curious as you mentor peers, tackle new technologies,and learn from our word-class team of engineers.
• Coach and mentor less experienced teammates, coach and be mentored by world classengineers.

Core Consulting Qualifications

Customer Experience

• Confidently addresses client questions and identifies gaps in requirements with proposed next steps.
• Focus on delivering clear, actionable solutions that meet client goals
• Facilitates alignment across stakeholders or technical priorities and deliverables.
• Navigates differing perspectives with professionalism to ensure shared understanding and progress.

Communication

• Breaks down complex technical concepts for non-technical audiences in a clear, concise manner.
• Adapts communication style based on audience and context to improve clarity and decision-making.

Technical Qualifications

• Experience with IaC tools (CloudFormation, CDK, Terraform).
• Expert level experience in Amazon SageMaker and ML libraries (TensorFlow, MXNet, PyTorch,Scikit-learn).
• Strong understanding of ML concepts: feature engineering, hyperparameter tuning, optimizationstrategies.
• Familiarity with MLOps tools (MLflow, Neptune, Comet).
• Pay in USD
• Generous holidays and flexible PTO
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

This role may require up to 25% travel, depending on business needs.

Caylent is a place where everyone belongs . We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.

Caylent is a place where everyone belongs . We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.

Create a Job Alert

Interested in building your career at Caylent? Get future opportunities sent straight to your email.

indicates a required field

First Name *

Last Name *

Email *

Phone

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

LinkedIn Profile

At Caylent, we are dedicated to creating a diverse and inclusive workplace. To support our efforts in fostering a more equitable recruitment process, we invite you to share your gender identity voluntarily. This information is optional and will be kept confidential, used only to help us track and improve our diversity initiatives. If you prefer not to answer, you're welcome to select "Prefer Not to Respond". * Select.

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). We provide a full-range of AWS services including workload migrations and modernization, cloud native application development, DevOps, data engineering, security and compliance, and everything in between.

At Caylent, our people always come first. We are a global company and operate fully remote with employees in Canada, the United States, and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien!

We are seeking an exceptional Machine Learning Architect to join our growing Cloud Data Engineeringteam. The right candidate is someone who has deep expertise in ML system design and is passionateabout working with our customers, partners, and colleagues to drive innovation forward.Your mission will be to work alongside Caylent’s Engineers, Engineering Managers, and ProjectManagers to deliver AWS solutions across our diverse and forward-thinking customer base. You’ll workwith the latest technologies and support customers looking to bring cutting-edge ideas to market.

• You will be a mission control specialist, guiding Cayliens and Customers alike through Agileceremonies like stand-ups, retrospectives, and more.
• You will translate customer requirements and into a workable backlog of tickets for engineers.
• Delegate tickets to a team of engineers in order to complete customer projects.
• Lead requirements gathering, backlog grooming, and architecture discussions.
• Apply your understanding of DevOps pipelines, including build automation, branching strategies,CI/CD, Infrastructure as Code, security, monitoring, logging, and alerting.
• Troubleshoot and resolve issues in customer dev, test, and production environments.
• Automate software testing at multiple levels (component, configuration item, subsystem,system) and monitor results.
• Write production quality code, including unit and integration tests.
• Work with a team to deliver top-quality cloud native applications on AWS for customers.
• Clearly communicate and document your designs, processes, and procedures.
• You will demonstrate a passion to Stay Curious as you mentor peers, tackle new technologies,and learn from our word-class team of engineers.
• Coach and mentor less experienced teammates, coach and be mentored by world classengineers.

Core Consulting Qualifications

Customer Experience

• Confidently addresses client questions and identifies gaps in requirements with proposed next steps.
• Focus on delivering clear, actionable solutions that meet client goals
• Facilitates alignment across stakeholders or technical priorities and deliverables.
• Navigates differing perspectives with professionalism to ensure shared understanding and progress.

Communication

• Breaks down complex technical concepts for non-technical audiences in a clear, concise manner.
• Adapts communication style based on audience and context to improve clarity and decision-making.

Technical Qualifications

• Experience with IaC tools (CloudFormation, CDK, Terraform).
• Expert level experience in Amazon SageMaker and ML libraries (TensorFlow, MXNet, PyTorch,Scikit-learn).
• Strong understanding of ML concepts: feature engineering, hyperparameter tuning, optimizationstrategies.
• Familiarity with MLOps tools (MLflow, Neptune, Comet).
• Pay in USD
• Generous holidays and flexible PTO
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

This role may require up to 25% travel, depending on business needs.

Caylent is a place where everyone belongs . We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.

Caylent is a place where everyone belongs . We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.

Create a Job Alert

Interested in building your career at Caylent? Get future opportunities sent straight to your email.

indicates a required field

First Name *

Last Name *

Email *

Phone

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

LinkedIn Profile

At Caylent, we are dedicated to creating a diverse and inclusive workplace. To support our efforts in fostering a more equitable recruitment process, we invite you to share your gender identity voluntarily. This information is optional and will be kept confidential, used only to help us track and improve our diversity initiatives. If you prefer not to answer, you're welcome to select "Prefer Not to Respond". * Select.