AI & ML Engineer

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 will work 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 will receive continuous career development opportunities, given the size and potential of client engagements. This role will perform 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
• Listens 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

License/Certifications:

• N/A

Software:

• Strong experience with AI/ML model lifecycle, required
• Strong SQL skills including Data Definition Language (DDL), Data Manipulation Language (DML), views, functions, stored procedures, or performance tuning, required
• Experience with Data Warehousing, Data Modeling, Semantic Model Definition or Star Schema Construction, required
• Experience with AI & ML Platforms such as Azure Cognitive Services or AWS SageMaker & ML Services, required
• Hands on delivery experience of end-to-end cloud data analytics solutions within Azure or AWS, preferred
• Experience with one (1) or more of the following computer languages, preferred:
  
  
  
  • C#
  • C++
  • Python
  • Java
  • Scala
  
  
• 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
  
  

Language:

• N/A

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