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Data/ ML Solution Architect (GenAI, AWS)

1 month, 1 week ago
Colombia, Costa Rica
Full-time
Lead
Data Architect
Data Science and Analytics
Agile AWS AWS CDK Azure Docker GCP Generative AI Java Kubernetes Machine Learning Microservices MLflow MLOps Neo4j Python PyTorch Terraform TypeScript
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Provectus

Provectus

Provectus provides consulting services in artificial intelligence and machine learning, assisting businesses in integrating AI solutions to meet their unique objectives and enhance their operational capabilities across various industries.

Professional Services
251-1K
Founded 2010
View All Jobs 30

Description

  • Lead the design and implementation of data and AI/ML architecture solutions across cloud and on-premise platforms.
  • Lead complex customer engagements and align technical solutions with business goals.
  • Build and maintain trusted relationships with customer stakeholders and act as a technical advisor.
  • Lead technical workshops, training sessions, and presentations.
  • Define and execute data lifecycle processes for ingestion, storage, processing, and visualization.
  • Collaborate with business units and stakeholders to ensure solution alignment with business needs.
  • Ensure solutions follow security, compliance, and architecture frameworks such as AWS Well-Architected and GCP Architecture Framework.
  • Lead cross-functional teams and provide mentorship and guidance to technical talent.
  • Design and execute proofs of concept for emerging technologies such as Generative AI and Machine Learning.
  • Drive best practices for backend and ML services to support scalable and maintainable solutions.
  • Oversee data governance and data quality processes across platforms.
  • Stay current with technology trends and continuously improve architecture strategy.

Requirements

  • 7+ years of experience in solutions architecture with a strong focus on Big Data and cloud platforms such as AWS, GCP, or Azure.
  • Excellent communication and problem-solving skills with the ability to explain complex technical concepts to technical and non-technical audiences.
  • Technical sales or pre-sales experience with cloud, big data, and ML solutions.
  • Strong leadership and team collaboration abilities.
  • Strategic thinking with a focus on delivering measurable business value.
  • Proven ability to build strong customer relationships and act as a trusted advisor.
  • Proficiency in data engineering and analytics, including designing data pipelines and architectures using AWS, GCP, or Azure data stacks.
  • Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions.
  • Experience with data lakes, data warehouses, and real-time data analytics.
  • Experience with microservice architecture and containerized deployment options.
  • Hands-on experience with Kubernetes, Docker, and containerized applications.
  • Proficiency in backend languages such as TypeScript, Java, Python, or similar.
  • Solid understanding of machine learning and MLOps tools such as PyTorch, SageMaker, and MLflow.
  • Demonstrated ability to lead and mentor cross-functional teams.
  • Familiarity with agile methodologies.
  • Experience with Generative AI implementations is preferred.
  • Proficiency with graph databases such as Neo4j or AWS Neptune is preferred.
  • Knowledge of data mesh principles and data contracts is preferred.
  • Operational knowledge of infrastructure deployment tools such as AWS CDK, CloudFormation, and Terraform is preferred.

Interested in this position?

Apply directly on the company website

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