Director of AI Engineering

Chicago, IL - USA

Monthly Salary: $ 180000 - 205000

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Description

Key Responsibilities:

Collaborate with stakeholders to ensure that technical strategies are in line with ABMs AI roadmap.
Conduct comprehensive technical research on emerging AI/ML models and technologies to pinpoint viable solutions for development MVP creation and deployment.
Spearhead MVP development and productization by rapidly prototyping and validating promising AI solutions.
Align AI initiatives with business objectives by offering expert insights on feasibility scalability and integration.
Oversee the development of machine learning models including those for NLP computer vision and predictive analytics.
Guarantee that AI models are robust scalable and optimized for real-world application.
Lead research into state-of-the-art AI/ML methodologies for business functions or products such as deep learning reinforcement learning and generative AI.
Collaborate closely with DevOps to streamline the deployment of AI models into production environments. Establish MLops practice and guardrails
Implement industry best practices for AI/ML pipelines including model monitoring versioning and periodic retraining.
Ensure seamless integration of AI models with cloud platforms like Azure (Synapse ADF Databricks).
Establish and enforce ethical AI frameworks to promote fairness mitigate bias and maintain transparency in AI systems.
Work with security teams to protect AI models and data from potential threats.
Partner with key stakeholders to implement and measure the impact of AI solutions across various business functions.

Required Skills & Expertise:

Machine Learning & AI: Deep learning NLP generative AI predictive analytics reinforcement learning.
MLOps & AI Engineering: Model deployment cloud-based AI solutions automation monitoring and retraining.
Cloud & Data Platforms: Azure (Synapse ADF Databricks) AWS Google Cloud Snowflake.
Programming & Frameworks: Python TensorFlow PyTorch Hugging Face Scikit-learn SQL.
Expertise and knowledge of OpenAIs GPT models Gemini LLaMA Alteryx.
Big Data & Infrastructure: Spark Kubernetes Kafka data lakes and scalable AI architectures.
AI Governance & Compliance: Ethical AI bias mitigation data privacy laws (GDPR CCPA).

Preferred Qualifications:

Masters degree in Computer science Data Science AI Machine Learning or a related field (PhD preferred).
12 years of experience in AI data science or ML engineering.
5 years in leadership roles managing AI and data teams.
Experience in deploying AI models at scale in enterprise settings.
Effective communication skills to bridge the gap between AI research engineering and business stakeholders.

Pay: $180000 $205000

The pay listed is the salary range for this position. Any specific offer will vary based on the successful applicantseducation experience skills abilities geographic locationand alignment with market data.

You may be eligible to participate in a Company incentive or bonus program.

Benefit Information:

ABM offers a comprehensive benefits package. For information about ABMs benefits visit:

Recruiting Flyer - Staff & Mgmt

Required Experience:

Director

DescriptionKey Responsibilities:Collaborate with stakeholders to ensure that technical strategies are in line with ABMs AI roadmap.Conduct comprehensive technical research on emerging AI/ML models and technologies to pinpoint viable solutions for development MVP creation and deployment.Spearhead MVP...