BDO USA, LLP
Job Summary:
With a global network serving clients across multiple industries and countries, our analytics game changers are poised for widespread technological impact. Our industry-recognized team is in high demand across data analytics, robotic process automation, and artificial intelligence. We gravitate towards bright individuals who value impactful change, worldly purpose, and a personal connection with diverse innovators. This role allows you to work with a team of talented consultants, requiring you to balance innovation with pragmatic client expectation management. With our team, you will be challenged to build scalable solutions, while embracing a fail-forward mentality critical to evolution. Whether you're telling a data story in ways our clients never imagined or building advanced AI models with automated data engineering, the core purpose will be centered on using data to impact people in a meaningful way.
This position works with cutting edge technology, deliver high quality solutions across various industries and collaborate with teams on engagements that range in size and scope. This position receives continuous career development opportunities, given the size and potential of client engagements. This role performs hands-on delivery of solutions that include artificial intelligence (AI) and cognitive services, ML models, pipelines, databases, and other data analytics components, contributing to the development and unit testing of solutions.
Job Duties:
Designs, and implements best in class solutions that include AI and cognitive services, ML models, data ingestion strategies, semantic layers and models, visualizations, streaming processes, API integrations, and automation (RPA) solutions for end-to-end data analytics solutions on primarily, but not limited to, cloud analytics platforms such as Azure and AWS
Leverage multiple Large Language Models (LLM) to enhance natural language processing capabilities and develop advanced AI applications.
Designs and implements solutions incorporating retrieval-augmented generation (RAG) architectures and multimodal embeddings to enhance AI-driven insights by combining text, images, and structured data sourcesListens to client needs to align solutions with business requirements and delivery schedules
Creates written functional and technical designs
Participates in project status and stand meetings, and assists with providing aggregated project status for project and program managers
Assists with SLA compliance of solutions, and performs performance tuning and optimization efforts of end-to-end solutions
Writes code using multiple languages and correctly applies frameworks, architectural patterns, and software development principles
Delivers high-performance, scalable, repeatable, and secure deliverables with broad impact (high throughput and low latency)
Assists with implementation of governance programs and best practices
Performs the cleaning and transforming of data from source systems into analytics models
Implements models to support data visualizations and integrations
Assists with implementing MLOps, DevOps, DataOps, methodologies on projects
Writes custom integration logic in applicable programming languages
Assists project managers with work breakdown structure creation, project estimation, resource staffing, workload planning and adjustments throughout the project lifecycle
Assists clients with licensing, security, and cost estimation of solutions
Performs code reviews to ensure adherence to standards
Works directly with clients and team members to establish secure data analytics platforms and infrastructure
Contributes to successful deployments of developed solutions and integration of DevOps and MLOps tools
Maintains a broad and current understanding of data analytics and business intelligence strategies, cloud platforms, methodologies, and tools
Builds client relationships during project execution, effectively becoming a trusted advisor of the client
Participates in support activities for existing software solutions
Other duties as assigned
Supervisory Responsibilities:
Supervises the day-to-day workload of Associates on assigned engagements to ensure that timelines and deliverables are met, and reviews work product
Qualifications, Knowledge, Skills, and Abilities:
Education:
High School Diploma or GED equivalent, required
Bachelor's degree, preferred; focus in Information Systems, Data Science or Computer Science, preferred
Experience:
Five (5) or more years of experience within Artificial Intelligence, Data Analytics, Business Intelligence, Machine Learning, Application Development, required
One (1) or more years of experience technically leading development projects, preferred
One (1) or more years of consulting experience or implementation of cloud-based data analytics solutions, preferred
Software:
Strong experience with AI/ML model lifecycle, required
Experience with AI & ML Platforms such as Azure Cognitive Services or AWS SageMaker & ML Services, required
Strong SQL skills including Data Definition Language (DDL), Data Manipulation Language (DML), views, functions, stored procedures, or performance tuning, required
Experience with one (1) or more of the following computer languages, preferred:
C#
Python
Java
Strong experience with Large Language Models (LLM), preferred
Hands on delivery experience of end-to-end cloud data analytics solutions within Azure or AWS, preferred
Experience with Data Warehousing, Data Modeling, Semantic Model Definition or Star Schema Construction, preferred
Experience with tabular modeling within Power BI or Azure Analysis Services, preferred
Experience with Git, DevOps, and MLOps deployment technologies, preferred
Experience with Linux, preferred
Experience with one (1) or more of the following, preferred:
AI Algorithms/Machine Learning
Computer Vision based AI technologies
Other Knowledge, Skills & Abilities:
Ability to work with a high degree of professionalism and autonomy
Excellent verbal and written communication skills
Solid organizational skills, especially the ability to meet project deadlines with a focus on details
Ability to successfully multi-task while working independently or within a group environment
Ability to work in a deadline-driven environment, and handle multiple projects simultaneously
Ability to interact effectively with people at all organizational levels of the Firm
Ability to effectively interact with a team of professionals and delegating work assignments, as needed
Ability to build and maintain strong relationships with internal and client personnel
Keywords:
Data Analytics, Business Intelligence, BI, Solution Architect, Data Architect, Synapse, IoT, Machine Learning, PyTorch, TensorFlow, Data Lake, Stream, Cube, Microsoft, SQL Server, Tableau, .Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL
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With a global network serving clients across multiple industries and countries, our analytics game changers are poised for widespread technological impact. Our industry-recognized team is in high demand across data analytics, robotic process automation, and artificial intelligence. We gravitate towards bright individuals who value impactful change, worldly purpose, and a personal connection with diverse innovators. This role allows you to work with a team of talented consultants, requiring you to balance innovation with pragmatic client expectation management. With our team, you will be challenged to build scalable solutions, while embracing a fail-forward mentality critical to evolution. Whether you're telling a data story in ways our clients never imagined or building advanced AI models with automated data engineering, the core purpose will be centered on using data to impact people in a meaningful way.
This position works with cutting edge technology, deliver high quality solutions across various industries and collaborate with teams on engagements that range in size and scope. This position receives continuous career development opportunities, given the size and potential of client engagements. This role performs hands-on delivery of solutions that include artificial intelligence (AI) and cognitive services, ML models, pipelines, databases, and other data analytics components, contributing to the development and unit testing of solutions.
Job Duties:
Designs, and implements best in class solutions that include AI and cognitive services, ML models, data ingestion strategies, semantic layers and models, visualizations, streaming processes, API integrations, and automation (RPA) solutions for end-to-end data analytics solutions on primarily, but not limited to, cloud analytics platforms such as Azure and AWS
Leverage multiple Large Language Models (LLM) to enhance natural language processing capabilities and develop advanced AI applications.
Designs and implements solutions incorporating retrieval-augmented generation (RAG) architectures and multimodal embeddings to enhance AI-driven insights by combining text, images, and structured data sourcesListens to client needs to align solutions with business requirements and delivery schedules
Creates written functional and technical designs
Participates in project status and stand meetings, and assists with providing aggregated project status for project and program managers
Assists with SLA compliance of solutions, and performs performance tuning and optimization efforts of end-to-end solutions
Writes code using multiple languages and correctly applies frameworks, architectural patterns, and software development principles
Delivers high-performance, scalable, repeatable, and secure deliverables with broad impact (high throughput and low latency)
Assists with implementation of governance programs and best practices
Performs the cleaning and transforming of data from source systems into analytics models
Implements models to support data visualizations and integrations
Assists with implementing MLOps, DevOps, DataOps, methodologies on projects
Writes custom integration logic in applicable programming languages
Assists project managers with work breakdown structure creation, project estimation, resource staffing, workload planning and adjustments throughout the project lifecycle
Assists clients with licensing, security, and cost estimation of solutions
Performs code reviews to ensure adherence to standards
Works directly with clients and team members to establish secure data analytics platforms and infrastructure
Contributes to successful deployments of developed solutions and integration of DevOps and MLOps tools
Maintains a broad and current understanding of data analytics and business intelligence strategies, cloud platforms, methodologies, and tools
Builds client relationships during project execution, effectively becoming a trusted advisor of the client
Participates in support activities for existing software solutions
Other duties as assigned
Supervisory Responsibilities:
Supervises the day-to-day workload of Associates on assigned engagements to ensure that timelines and deliverables are met, and reviews work product
Qualifications, Knowledge, Skills, and Abilities:
Education:
High School Diploma or GED equivalent, required
Bachelor's degree, preferred; focus in Information Systems, Data Science or Computer Science, preferred
Experience:
Five (5) or more years of experience within Artificial Intelligence, Data Analytics, Business Intelligence, Machine Learning, Application Development, required
One (1) or more years of experience technically leading development projects, preferred
One (1) or more years of consulting experience or implementation of cloud-based data analytics solutions, preferred
Software:
Strong experience with AI/ML model lifecycle, required
Experience with AI & ML Platforms such as Azure Cognitive Services or AWS SageMaker & ML Services, required
Strong SQL skills including Data Definition Language (DDL), Data Manipulation Language (DML), views, functions, stored procedures, or performance tuning, required
Experience with one (1) or more of the following computer languages, preferred:
C#
Python
Java
Strong experience with Large Language Models (LLM), preferred
Hands on delivery experience of end-to-end cloud data analytics solutions within Azure or AWS, preferred
Experience with Data Warehousing, Data Modeling, Semantic Model Definition or Star Schema Construction, preferred
Experience with tabular modeling within Power BI or Azure Analysis Services, preferred
Experience with Git, DevOps, and MLOps deployment technologies, preferred
Experience with Linux, preferred
Experience with one (1) or more of the following, preferred:
AI Algorithms/Machine Learning
Computer Vision based AI technologies
Other Knowledge, Skills & Abilities:
Ability to work with a high degree of professionalism and autonomy
Excellent verbal and written communication skills
Solid organizational skills, especially the ability to meet project deadlines with a focus on details
Ability to successfully multi-task while working independently or within a group environment
Ability to work in a deadline-driven environment, and handle multiple projects simultaneously
Ability to interact effectively with people at all organizational levels of the Firm
Ability to effectively interact with a team of professionals and delegating work assignments, as needed
Ability to build and maintain strong relationships with internal and client personnel
Keywords:
Data Analytics, Business Intelligence, BI, Solution Architect, Data Architect, Synapse, IoT, Machine Learning, PyTorch, TensorFlow, Data Lake, Stream, Cube, Microsoft, SQL Server, Tableau, .Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL
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