92 applicants

Company

Provectus · 2 days ago

Machine Learning Solutions Architect

San Jose

Full-time

Remote

Senior Level

7+ years exp

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Artificial Intelligence (AI)Health Insurance

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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.

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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Solutions ArchitectureBig DataCloud PlatformsData EngineeringAI/ML ConceptsData PipelinesMLOpsJavaPythonSnowflakeDatabricksTensorFlowPyTorchSageMakerKubernetesDockerAWS CDKCloudFormationTerraformGraph DatabasesAgile MethodologiesGenerative AIData LakesData WarehousesReal-time Data AnalyticsData GovernanceData Quality

Required

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.

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.

Preferred

Experience in Generative AI implementations.

Proficiency with graph databases (Neo4j, AWS Neptune).

Hands-on experience with Kubernetes, Docker, and containerized applications.

Knowledge of data mesh principles and data contracts.

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

Company

Provectus

Provectus is an Artificial Intelligence consultancy and solutions provider helping businesses achieve their objectives through AI.

Founded in 2010

Palo Alto, California, USA

501-1000 employees

http://www.provectus.com

H1B Sponsorship

Provectus has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2023 (2)

2022 (4)

2021 (1)

2020 (2)