Provectus

ML Solution Architect

Provectus

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇨🇴 Colombia

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Job Level

SeniorLead

Tech Stack

AWSAzureCloudDockerGoogle Cloud PlatformJavaKubernetesPythonPyTorchTypeScript

About the role

  • Lead the design and implementation of data and AI/ML architecture solutions across cloud and on-premise platforms.
  • Lead complex customer engagements, providing strategic technical vision and aligning solutions with customer business goals.
  • Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor.
  • Lead technical workshops, training sessions, and presentations.
  • Define and execute data lifecycle processes: ingestion, storage, processing, and visualization.
  • Collaborate with business units and stakeholders to align solutions with business goals.
  • Ensure solutions adhere to security, compliance, and architecture frameworks (e.g., AWS Well-Architected, GCP Architecture Framework).
  • Lead cross-functional teams, providing mentorship and guidance to technical talent.
  • Design and execute proofs of concept for emerging technologies like Generative AI, Machine Learning.
  • Drive backend/ML services best practices for scalable and maintainable solutions.
  • Oversee data governance and data quality processes across platforms.
  • Stay updated with the latest technology trends and continuously improve the architecture strategy.

Requirements

  • 7+ years of experience in solutions architecture, with a strong focus on Big Data and cloud platforms (AWS, GCP, Azure).
  • Excellent communication and problem-solving skills, with the ability to work across multiple projects and the ability to articulate complex technical concepts to both technical and non-technical audiences.
  • Technical sales or pre-sales experience with cloud and 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 relationships with customers and act as a trusted advisor.
  • Proficiency in data engineering and analytics, designing data pipelines and architectures using AWS, GCP, or Azure data stack.
  • Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions.
  • Proven experience with data lakes, data warehouses, and real-time data analytics.
  • Proven experience with microservice architecture and containerized deployment options.
  • Hands-on experience with Kubernetes, Docker, and containerized applications.
  • Proficiency in any of backend backend-related languages: TS, Java, Python, and others.
  • Solid understanding of machine learning and MLOps tools (PyTorch, SageMaker, MLFlow).
  • Demonstrated ability to lead and mentor cross-functional teams.
  • Familiarity with agile methodologies.
Benefits
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
solutions architectureBig Datacloud platformsdata engineeringdata pipelinesAI/ML conceptsmicroservice architectureMLOpsbackend languagesdata governance
Soft skills
communication skillsproblem-solving skillsleadership abilitiesteam collaborationstrategic thinkingrelationship buildingmentorshiptechnical advisorypresentation skillstraining skills