Mid-level AI Engineer - R&D

Blackstone Talent Group, an award-winning technology consulting and talent agency is seeking a Senior AI Engineer to join our Client's team.

Role Responsibilities

Machine Learning Development

• Maintains, as well as further, enhances existing machine learning modules for 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 technology in the industry.
• Coordinates with engineers at the ICC and in Germany on the development of autonomous driving software.
• Transfers technologies and solutions to Volkswagen Group development divisions.

Process Documentation and Representation

• Develop technical specifications and documentation.
• Represents Volkswagen Group in the technical community, such as at conferences.

Qualifications

• 6 - 8 years of professional experience PREFERRED 
• 4+ years’ Deep Learning experience PREFERRED 

Education Requirements:

• Master’s Degree in Computer Science or equivalent. 

Education Desired

• PhD Strongly Preferred.

Skills

• Strong knowledge of different machine learning algorithms. 

Required Skills:

• 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
• Natural Language Processing (NLP): 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).
• Documentation: 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 cloud platforms like AWS, Azure, or GCP, and their AI services.

Blackstone Talent Group is a wholly owned subsidiary of Blackstone Technology Group, a global IT services and software firm that implements technological solutions across commercial industry verticals and the US Federal Government. Blackstone's global talent augmentation practice was founded in 1998. Blackstone Talent Group has offices in San Francisco, Denver, Houston, Colorado Springs, and Washington, DC. We specialize in providing clients the best talent across a variety of industries and sectors.

EOE of Minorities/Females/Veterans/Disabilities