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Data/ ML Solution Architect Job Opening In Cali – Now Hiring Provectus


Job description

Overview

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value.

The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.

Provectus partners with clients around the world and is obsessed with leveraging cloud, data, and AI to reimagine the way clients operate & compete.

Position Summary

  • As a Solutions Architect, you will be responsible for designing, planning, and implementing scalable, cloud-based, and on-premise data and ML architectures and backend services
  • You will collaborate with internal teams, clients, and stakeholders to build state-of-the-art solutions across Big Data, machine learning, and real-time analytics environments
  • Your role will focus on delivering high-quality, innovative solutions while adhering to best practices in architecture, security, and compliance
  • As a Solutions Architect, you will provide strategic technical leadership on complex, high-impact customer engagements.

    You will design advanced technical solutions, manage technical risks, and collaborate with cross-functional teams to ensure successful solution delivery
  • Your role will involve driving innovation, optimizing customer KPIs, and mentoring other architects and technical leaders

Responsibilities

  • 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 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-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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Required Skill Profession

Arquitectura Y Diseño De Software


  • Job Details

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Unlock Your Data ML Potential: Insight & Career Growth Guide


Real-time Data ML Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data ML in Cali, Colombia, highlighting market share and opportunities for professionals in Data ML roles.

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Are You Looking for Data/ ML Solution Architect Job?

Great news! is currently hiring and seeking a Data/ ML Solution Architect to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Provectus adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

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5. Accountabipty

6. Respect for human rights

7. Obeying Colombia laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Cali. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Data/ ML Solution Architect typically include Arquitectura Y Diseño De Software and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Provectus interview tips for Data/ ML Solution Architect

Here are some tips to help you prepare for and ace your Data/ ML Solution Architect job interview:

Before the Interview:

Research: Learn about the Provectus's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

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Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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To prepare for your Data/ ML Solution Architect interview at Provectus, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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