Remote Data/ ML Solutions Architect

Description:

• Provectus is a leading AI and data consultancy that enables organizations to harness cutting-edge technology for digital transformation.
• 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.
• You will provide strategic technical leadership on complex, high-impact customer engagements, 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:

• You must have 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 are required, 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 is necessary.
• Strong leadership and team collaboration abilities are essential.
• You should possess strategic thinking with a focus on delivering measurable business value.
• Proven ability to build strong relationships with customers and act as a trusted advisor is required.
• Proficiency in data engineering and analytics, designing data pipelines and architectures using AWS, GCP, or Azure data stack is necessary.
• A strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions is required.
• Proven experience with data lakes, data warehouses, and real-time data analytics is necessary.
• Proven experience with microservice architecture and containerized deployment options is required.
• Hands-on experience with Kubernetes, Docker, and containerized applications is necessary.
• Proficiency in any of the backend-related languages: TS, Java, Python, and others is required.
• A solid understanding of machine learning and MLOps tools (PyTorch, SageMaker, MLFlow) is necessary.
• You must demonstrate the ability to lead and mentor cross-functional teams.
• Familiarity with agile methodologies is required.

Benefits:

• The position offers a remote-first work environment with flexible scheduling.
• You will have the opportunity to contribute to high-stakes projects for mid-sized and large corporations.
• The company promotes a collaborative culture that values innovation, curiosity, and continuous learning.
• A competitive compensation package and professional development support are provided.
• Comprehensive benefits include health, dental, vision, 401(k) with company match, and unlimited PTO.
• You will have access to a diverse professional network across industries and technology domains.