Diverse Lynx
Role - AI/ML Solution Architect
Location - Remote ( Occasional travel to Sailsbury, MD )
The candidate should have extensive experience in
Qualifications & Experience
Bachelor’s or Master’s in Computer Science, Data Science, or related field.
15+ years of IT experience , including
5+ years in AI/ML architecture or advanced analytics design .
Deep expertise in
AI/ML frameworks:
TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost.
Hands-on knowledge of
data platforms:
Snowflake, Dataiku, Azure Data Services.
Experience defining
AI governance, model lifecycle, and compliance standards.
Proven ability to lead
cross-functional global teams
and manage enterprise-scale architecture programs.
Strong understanding of
Client domain processes
and data-driven decision systems.
Preferred Skills
Exposure to
Snowflake’s advanced AI capabilities
(Feature Store, Model Registry, Cortex AI).
Experience integrating AI systems with
Power BI, Azure Synapse, or custom visualization tools.
Understanding of
MLOps concepts
to effectively partner with operational teams.
Defining the AI system's architecture and components, including data pipelines, model selection, and deployment strategies.
Collaborating with stakeholders to understand business requirements and align AI solutions with organizational goals.
Evaluating and selecting the appropriate AI tools, frameworks, and technologies for the organization's needs. Leverage existing tools wherever possible.
Leading and guiding AI engineering teams, including AI Engineers and data scientists, in implementing AI solutions.
Ensuring compliance with data privacy regulations, ethical considerations, and best practices in AI development.
Overseeing the integration of AI solutions into the existing infrastructure and systems.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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Qualifications & Experience
Bachelor’s or Master’s in Computer Science, Data Science, or related field.
15+ years of IT experience , including
5+ years in AI/ML architecture or advanced analytics design .
Deep expertise in
AI/ML frameworks:
TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost.
Hands-on knowledge of
data platforms:
Snowflake, Dataiku, Azure Data Services.
Experience defining
AI governance, model lifecycle, and compliance standards.
Proven ability to lead
cross-functional global teams
and manage enterprise-scale architecture programs.
Strong understanding of
Client domain processes
and data-driven decision systems.
Preferred Skills
Exposure to
Snowflake’s advanced AI capabilities
(Feature Store, Model Registry, Cortex AI).
Experience integrating AI systems with
Power BI, Azure Synapse, or custom visualization tools.
Understanding of
MLOps concepts
to effectively partner with operational teams.
Defining the AI system's architecture and components, including data pipelines, model selection, and deployment strategies.
Collaborating with stakeholders to understand business requirements and align AI solutions with organizational goals.
Evaluating and selecting the appropriate AI tools, frameworks, and technologies for the organization's needs. Leverage existing tools wherever possible.
Leading and guiding AI engineering teams, including AI Engineers and data scientists, in implementing AI solutions.
Ensuring compliance with data privacy regulations, ethical considerations, and best practices in AI development.
Overseeing the integration of AI solutions into the existing infrastructure and systems.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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