AI & ML Engineer

Key Skills

Aartificial intelligence, AWS, Azure, Business Intelligence, C# Programming, C++, Computer Vision (CV), DevOps, Git, Java Programming, Linux Operating system, MLOps tools, PowerBI, Python Programming, Scala Programming, SQL

Job Description

Job Summary:

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
• 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
• 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
• Participates in support activities for existing software solutions
• Other duties as assigned

Supervisory Responsibilities:

• N/A

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:

• One (1) or more years of experience within Artificial Intelligence, Data Analytics, Business Intelligence, Machine Learning, Application Development, required

License/Certifications:

• N/A

Software:

• 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 AI & ML Platforms such as Azure Cognitive Services or AWS SageMaker & ML Services, required
• Experience with Data Warehousing, Data Modeling, Semantic Model Definition or Star Schema Construction, preferred
• 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 build and maintain strong relationships with internal and client personnel
• Ability to encourage a team environment on engagements