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Provectus

We help businesses leverage cloud, data, and AI to reimagine the way they operate, compete, and deliver customer value.

Machine Learning Solution Architect

Solutions EngineerSolutions EngineerFull TimeRemoteLeadTeam 501-1,000Since 2012H1B SponsorCompany SiteLinkedIn

Location

Colombia

Posted

75 days ago

Salary

0

Seniority

Lead

Job Description

Machine Learning Solution Architect

Provectus

• 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.

Job 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.
  • Nice to Have:
  • Experience in Generative AI implementations.
  • Proficiency with graph databases (Neo4j, AWS Neptune).
  • Knowledge of data mesh principles and data contracts.
  • Operational knowledge of infrastructure deployment tools like AWS CDK, CloudFormation, and Terraform.

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