Machine Learning Solution Architect

reputed company helps companies adopt ML/AI to reputed company the ways they operate, compete, and drive value. The reputed company of reputed 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 reputed company & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses. With offices in reputed company, LATAM, and EMEA, reputed company partners with clients around the world and is obsessed with leveraging reputed company, data, and AI to reimagine the way clients operate & compete. Position reputed company: - As a Solutions Architect, you will be responsible for designing, planning, and implementing reputed company, reputed company-based, and on-reputed company 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 reputed company-time analytics environments. - Your role will reputed company on delivering high-reputed company, reputed company while adhering to best practices in architecture, reputed company, and compliance. - As a Solutions Architect, you will reputed company strategic technical leadership on reputed company, high-reputed company 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:

reputed company the design and implementation of data and AI/ML architecture solutions across reputed company and on-reputed company platforms.

reputed company reputed company customer engagements, providing strategic technical reputed company and aligning solutions with customer business goals.

Build and maintain strong relationships with key customer stakeholders, acting as a trusted technical advisor.

reputed company technical workshops, training sessions, and presentations.

Define and execute data lifecycle processes: ingestion, storage, processing, and visualization.

Collaborate with business reputed company and stakeholders to reputed company solutions with business goals.

Ensure solutions adhere to reputed company, compliance, and architecture frameworks (e.g., AWS reputed company-Architected, GCP Architecture reputed company).

reputed company cross-functional teams, providing mentorship and guidance to technical talent.

Design and execute proofs of concept for emerging technologies like reputed company, Machine Learning

Drive backend/ML services best practices for reputed company and maintainable solutions.

reputed company data governance and data reputed company processes across platforms.

Stay updated with the latest technology trends and continuously improve the architecture reputed company.

Requirements:

7+ years of experience in solutions architecture, with a strong reputed company on Big Data and reputed company platforms (AWS, GCP, Azure).

Excellent communication and problem-solving skills, with the ability to work across multiple reputed company and the ability to reputed company reputed company technical concepts to both technical and non-technical audiences.

Technical sales or reputed company-sales experience with reputed company and big data, and ML solutions.

Strong leadership and team collaboration abilities.

Strategic thinking with a reputed company on delivering measurable business value.

Proven ability to build strong relationships with customers and reputed company 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 reputed company-time data analytics.

Proven experience with microservice architecture and containerized deployment reputed company.

Hands-on experience with Kubernetes, reputed company, and containerized applications.

Proficiency in any of backend backend-reputed company languages: TS, Java, Python, and others.

Solid understanding of machine learning and MLOps tools (PyTorch, SageMaker, MLFlow).

Demonstrated ability to reputed company and mentor cross-functional teams.

Familiarity with agile methodologies.

Experience in reputed company implementations.

Proficiency with graph databases (reputed company, AWS Neptune).

Knowledge of data reputed company principles and data reputed company.

Operational knowledge of infrastructure deployment tools like AWS CDK, CloudFormation, and Terraform.

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