Mlops Architect

2 semanas atrás

Lisboa, Lisboa, Portugal Dxc Technology Inc. Tempo inteiro
Provide experienced technical consulting and delivers solutions within teams to optimize performance.
Design and develop architectures, proof-of-concepts and demos in support of presales activities for clients.
Act as a technical lead in Machine Learning projects, ensuring production scale machine learning applications.
Contribute as technical expert in presales activities and knowledge sharing in the DXC machine learning community.
Education and Competencies Bachelor or Masters degree required in computer science or equivalent qualification.
Hands-on experience in delivering and leading Data Science and machine learning projects.

Proven experience in all phases of a Big Data/Analytics project:
Concept & design, development, implementation, change and operation.
Advanced experience in programming (Python, SQL, bash).Experience with Docker, Kubernetes/AKS/EKS/Openshift. Experience with DevOps, CI/CD and MLOps automation.
Experience in cloud architecting and machine learning technologies – Azure/AWS/GCP.Experience in designing machine learning solution architectures.
Experience in applying ArchiMate and TOGAF.Experience with data versioning, pipeline tools and model repositories, e.g. Kubeflow, dvc, mlflow or cloud equivalents.

Requirements Design Data Pipelines and Engineering Infrastructure:
You'll create and maintain the necessary data pipelines to support large-scale ML enterprise systems.

Transition Offline Models to Production Systems:
Take ML models developed by data scientists and transform them into real production systems

Develop and Deploy Scalable Tools:
Build scalable tools and services so that our clients can manage ML model training and inference

Evaluate New Technologies:
Stay up-to-date with the latest trends and evaluate new technologies to enhance the performance, maintainability, and reliability of client ML systems

Apply Software Engineering Best Practices:
Use practices like continuous integration (CI/CD), automation, and auditing to ensure quality and security in ML systems.
Facilitate Proof-of
  • Concept Model Development and Deployment: Collaborate with other teams to carry out proof of concept projects and demonstrate the value of ML solutions.

Knowledge of Machine Learning and Data Science:
You should have a strong understanding of machine learning algorithms and data science concepts is necessary. This includes data cleaning, preprocessing, feature engineering, model training, and evaluation.

Experience with Spark:
Experience with Spark for big data processing is important. This includes knowledge of Spark SQL, DataFrames, and MLlib.

Cloud Computing:
Deep understanding of cloud computing concepts, including virtual machines, containers, serverless computing, and cloud storage

Experience with Machine Learning Frameworks:
Familiarity with frameworks like TensorFlow, PyTorch, Keras, etc., is important.

Familiarity with MLOps Tools:

Experience with tools like Kubeflow, MLflow, TFX, Seldon, etc., that help in the deployment, monitoring, and maintenance of machine learning models.


Knowledge of DevOps Practices:
Understanding of DevOps practices like CI/CD is important. Familiarity with GitHub and Azure DevOps would be a plus.

Soft Skills:
Good communication skills to explain complex concepts to non-technical stakeholders, problem-solving skills, and ability to work in a team are also important

Proficiency in Azure Machine Learning:
You should be proficient with Azure Machine Learning platform, including creating and managing workspaces, experiments, compute resources, and datasets

Experience with Azure Databricks:
You should have experience with Azure Databricks for big data analytics. This includes knowledge of creating Databricks workspaces, clusters, notebooks, jobs, and tables.

Familiarity with Azure Services:
You should be familiar with other Azure services that can be integrated with Azure Machine Learning and Databricks, such as Azure Data Factory, Azure Synapse Analytics, Azure Storage, etc

What we offer:

Numerous opportunities for personal and professional development and advancement within the company by taking part in interesting and challenging projectsModern and friendly work environment with open door policyProfessional technical and soft skill training programs (internal DXC University, DXC Partners Network and certification program), opportunity to learn and evolve within a team of experienced colleaguesPrivate medical care, social benefits system, life insuranceCompetitive compensation package adjusted to candidate's experience and qualificationsFlexibility in work arrangement Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company.

These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process.

DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf.

More information on employment scams is available here .

About UsDXC Technology (NYSE:
DXC) helps global companies run their mission critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private and hybrid clouds.

The world's largest companies and public sector organizations trust DXC to deploy services across the Enterprise Technology Stack to drive new levels of performance, competitiveness, and customer experience.

Learn more about how we deliver excellence for our customers and colleagues at .
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