Azure AI/ML Architect/Lead Engineer - Remote
United States
We currently have an exciting career opportunity for an Azure AI Architect/Engineer to join our DNA (Data and Analytics) Practice. While our headquarters location is St. Louis, MO, this position is remote and can be based anywhere within the United States and will be working during CT and ET zones mostly.
Why Work for DNA
· Wide range of clients, technologies, and applications: We work in a number of different industries, such as financial services, life sciences / pharma, healthcare, utilities, retail, and insurance. In addition to learning about each industry’s business processes, you are exposed to new technologies and different ways to apply them.
· Broad Opportunities: The Data Solutions team works with data technologies at all touchpoints, from collection to usage. Our practice groups include Artificial Intelligence, Content, Data Governance, Data Management, Data Strategy and Search
· Project Support: Your whole team is at your disposal for assistance.
· Fast Growing: We’ve had explosive growth in the last three years to meet the demands of a massive transition to digital, and we continue to grow.
Perficient is always looking for the best and brightest talent and we need you! We’re a quickly-growing, global digital consulting leader, and we’re transforming the world’s largest enterprises and biggest brands. You’ll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues.
Machine Learning Development
· Maintains, as well as furthers, enhances existing machine learning modules.
· Designs and implements new machine learning based approaches based on existing frameworks.
· Keeps up to speed with the state of the art of academic research and AI/ML technology.
· Applies industry and technology expertise to real business problems.
Data Engineering and Pipelines:
· Understand business context and wrangles large, complex datasets.
· Create repeatable, reusable code for data preprocessing, feature engineering, and model training.
Responsible AI and Fairness:
· Consider ethical implications and fairness throughout the ML model development process.
· Collaborate with other roles (such as data engineers, product managers, and business analysts) to ensure long-term success.
Infrastructure and MLOps:
· Work with infrastructure as code to manage cloud resources.
· Implement CI/CD pipelines for model deployment and monitoring.
· Monitor and improve ML solutions.
Process Documentation and Representation
· Develops technical specifications and documentation.
· Represents Perficient in the technical community, such as at conferences.
- 7+ years working experience as a technical engineer and architect.
- 5+ years hands on experience with Azure
- Strong knowledge of different machine learning algorithms.
- Deep Learning: Proficiency in deep learning techniques and frameworks
- Machine Learning: Strong understanding of traditional machine learning algorithms and their applications.
- Hands on experience with AI Studio, Open AI, Copilot studio etc.
- Strong communication skills must be able to describe and explain complex AI/ML concepts and models to business leaders.
- Understanding of Generative AI concepts and LLM Models tailored to a wide variety of automotive applications.
- Strong documentation skills for model architecture, code, and processes.
The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate of the current salary range for this position is $125,000 to $190,00. Please note that the salary range posted reflects the base salary only and does not include benefits or any potential equity or variable bonus programs. Information regarding the benefits available for this position are in our benefits overview.
WHO WE ARE
Perficient is a leading global digital consultancy. We imagine, create, engineer, and run digital transformation solutions that help our clients exceed customers’ expectations, outpace competition, and grow their business. With unparalleled strategy, creative, and technology capabilities, our colleagues bring big thinking and innovative ideas, along with a practical approach to help our clients – the world’s largest enterprises and biggest brands succeed.
WHAT WE BELIEVE
At Perficient, we promise to challenge, champion, and celebrate our people. You will experience a unique and collaborative culture that values every voice. Join our team, and you’ll become part of something truly special.
We believe in developing a workforce that is as diverse and inclusive as the clients we work with. We’re committed to actively listening, learning, and acting to further advance our organization, our communities, and our future leaders… and we’re not done yet.
Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated.
Disability Accommodations:
Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us.
Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time.
Perficient is always looking for the best and brightest talent and we need you! We’re a quickly growing, global digital consulting leader, and we’re transforming the world’s largest enterprises and biggest brands. You’ll work with the latest technologies, expand your skills, experience work-life balance, and become a part of our global community of talented, diverse, and knowledgeable colleagues. Apply
Job Profile
Must work during CT and ET zones
Benefits/PerksCollaborative culture Expand Experience work-life balance Exposure to new technologies Fast-growing company Global community Latest technologies Project support Wide range of clients Work-life balance
Tasks- Collaborate with team
- Consider ethical implications in ML
- Create reusable code
- Deployment
- Design and implement ML approaches
- Develop technical documentation
- Documentation
- Implement CI/CD pipelines
- Maintain and enhance ML modules
- Manage cloud resources
- Support
- Wrangle complex datasets
AI AI/ML Analytics Architecture Azure Business CI/CD CI/CD pipelines Cloud Communication Consulting Content Data engineering Data Governance Data Management Data preprocessing Data Solutions Data Strategy Data technologies Deep Learning Deployment Digital Transformation Documentation Engineering Feature Engineering Financial Services Generative AI Healthcare Infrastructure as Code LLM Models Machine Learning ML MLOps Model Deployment Model training Process Support Technical Technical Specifications Technology Training
Experience7 years
Education Certifications TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9