Cloud-Based ML Solutions Architect for Scalable AI Transformations

hace 3 días

Medellín, Antioquia, Colombia Provectus A tiempo completo

Transform Your Business with Provectus

We are seeking a seasoned Solutions Architect to drive end-to-end AI transformations and lead the design of scalable, cloud-based data and ML architectures.

This role involves collaborating with internal teams, clients, and stakeholders to build state-of-the-art solutions across Big Data, machine learning, and real-time analytics environments. As a trusted advisor, you will provide strategic technical leadership on complex customer engagements and ensure successful solution delivery.

The ideal candidate will have 7+ years of experience in solutions architecture, with a strong focus on Big Data and cloud platforms (AWS, GCP, Azure). You should possess excellent communication and problem-solving skills, with the ability to work across multiple projects and articulate complex technical concepts to both technical and non-technical audiences.

Main Responsibilities:

  • Lead the design and implementation of data and AI/ML architecture solutions across cloud and on-premise platforms.
  • Provide strategic technical vision and align solutions with customer business goals.
  • Build and maintain strong relationships with key customer stakeholders.
  • Lead technical workshops, training sessions, and presentations.
  • Define and execute data lifecycle processes: ingestion, storage, processing, and visualization.
  • Develop and maintain streaming data solutions using Lambda/Kappa architectures, Kafka, Spark, and Flink.
  • 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 MLOps best practices for scalable and maintainable machine learning pipelines.
  • 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.
  • 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.
  • Proficiency in Java, Python, and modern data technologies like Snowflake and Databricks.
  • Solid understanding of machine learning and MLOps tools (TensorFlow, PyTorch, SageMaker).
  • Demonstrated ability to lead and mentor cross-functional teams.
  • Familiarity with agile methodologies.

Salary: $140,000 - $170,000 per year, depending on experience.

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