ML Solution Architect – LatAm

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Provectus

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Artificial Intelligence • SaaS

Provectus is an artificial intelligence consultancy and solutions provider that helps businesses transform through AI. Offering both a use case and a platform approach, Provectus integrates AI into organizations to achieve unique business objectives and technical capabilities. Their solutions are cloud-native, vendor-agnostic, and open, allowing for deployment in customer's cloud without restrictive licenses. With applications in industries like retail, manufacturing, and healthcare, Provectus delivers AI-powered use cases and turnkey solutions to drive innovation and efficiency. They also offer consulting, customization, and managed AI services.

501 - 1000 employees

Founded 2012

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• 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.

🎯 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.