Senior GCP AI Deep Learning Engineer

 

 

We currently have an exciting career opportunity for a Senior GCP AI Deep Learning Engineer. 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 ET zones. 

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.

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.

Machine Learning Development

• Maintains, as well as furthers, enhances existing machine learning modules for automotive applications including autonomous vehicles.
• 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 in the Automotive industry.
• Applies industry and technology expertise to real business problems.
• Coordinates with automotive engineers and autonomous driving software experts.
• Transfers technologies and solutions to automotive OEM development divisions.

Data Engineering and Pipelines:

• Understand business context and wrangles large, complex datasets.
• Create repeatable, reusable code for data preprocessing, feature engineering, and model training.
• Build robust ML pipelines using Google Vertex AI, BigQuery and other GCP services.

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.
• Implement MLOps using Vertex AI pipelines on the GCP platform.

Process Documentation and Representation

• Develops technical specifications and documentation.
• Represents the Customer in the technical community, such as at conferences.

• 7 - 10 years of professional experience REQUIRED
• 5+ years’ Deep Learning experience REQUIRED
• Master’s Degree in Computer Science or equivalent.
• PhD Strongly Preferred. 

 

Required Skills

• Strong communication skills must be able to describe and explain complex AI/ML concepts and models to business leaders.
• Desire and ability to work effectively within a group or team.
• 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.
• Computer Vision: Expertise in computer vision, including object detection, image segmentation, and image recognition
• Proficiency in NLP techniques, including sentiment analysis, text generation, and language understanding models. Experience with multimodal language modeling and applications.
• Neural Network Architectures: Deep understanding of various neural network architectures such as CNNs, RNNs, and Transformers.
• Reinforcement Learning: Familiarity with reinforcement learning algorithms and their applications in AI.\
• Data Preprocessing: Skills in data cleaning, feature engineering, and data augmentation.
• Model Training And Tuning: Experience in training, fine-tuning, and optimizing AI models.
• Model Deployment: Knowledge of model deployment techniques, including containerization (Docker) and orchestration (Kubernetes).
• 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.

 

Desired Skills

• AI Ethics: Awareness of ethical considerations in AI, including bias mitigation and fairness.
• Legal And Regulatory Knowledge: Understanding of AI-related legal and regulatory considerations, including data privacy and intellectual property.
• Data Management: Proficiency in data storage and management systems, including databases and data lakes.
• Cloud Computing: Familiarity with Google Cloud Platform. 
• Experience with GCP, Vertex AI and BigQuery is a plus.

 

 

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 $92,118 to $202,730. 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.

 

Applications will be accepted until the position is filled or the posting removed.

 

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. #LI-KO1 #LI-GCP #LI- REMOTE

 

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