Senior AI Engineer at PMC
Auburn Hills, MI 48326
About the Job
Role: Senior AI Engineer
Location: Auburn Hills, MI (Remote)
Client: Automotive
TensorFlow, PyTorch, scikit-learn, NLTK
Technical Skills:
Programming Languages: Strong proficiency in languages like Python, Java, C++, or others commonly used in AI development.
Machine Learning and Deep Learning:
In-depth knowledge of machine learning algorithms, frameworks like TensorFlow or PyTorch, and experience with deep learning architectures.
Natural Language Processing (NLP):
If the role involves NLP, expertise in libraries such as NLTK, spaCy, or Hugging Face Transformers can be essential.
Big Data Technologies: Familiarity with tools like Apache Spark, Hadoop, or distributed computing platforms for handling large datasets.
Cloud Services: Experience with cloud platforms like AWS, Azure, or Google Cloud Platform for deploying AI solutions.
Version Control: Proficiency in using Git or other version control systems for collaborative development.
Software Engineering Practices: Understanding of software development methodologies, agile practices, and continuous integration/continuous deployment (CI/CD) pipelines.
AI and ML Experience:
Developing and deploying machine learning models in production environments.
Experience with data preprocessing, feature engineering, model training, and evaluation.
Knowledge of model optimization techniques for performance improvement and scalability.
Familiarity with AI ethics, bias mitigation, and responsible AI practices.
Industry Knowledge:
Understanding of the specific industry domain (e.g., healthcare, finance, e-commerce) where AI solutions will be applied.
Experience in developing AI applications tailored to industry needs and regulations.
Knowledge of relevant use cases and trends in AI for the industry.
Communication and Leadership:
Strong communication skills for collaborating with cross-functional teams, presenting technical concepts to non-technical stakeholders, and mentoring junior team members.
Leadership qualities such as the ability to lead AI projects, make strategic decisions, and drive innovation within the organization.
Problem-Solving and Analytical Skills:
Capacity to analyze complex problems, devise effective AI solutions, and troubleshoot technical issues.
Critical thinking and creativity in designing novel AI approaches to solve business challenges.
Continuous Learning:
Demonstrated commitment to staying updated with the latest AI/ML advancements, attending conferences, and contributing to the AI community through publications or open-source projects.
Location: Auburn Hills, MI (Remote)
Client: Automotive
TensorFlow, PyTorch, scikit-learn, NLTK
Technical Skills:
Programming Languages: Strong proficiency in languages like Python, Java, C++, or others commonly used in AI development.
Machine Learning and Deep Learning:
In-depth knowledge of machine learning algorithms, frameworks like TensorFlow or PyTorch, and experience with deep learning architectures.
Natural Language Processing (NLP):
If the role involves NLP, expertise in libraries such as NLTK, spaCy, or Hugging Face Transformers can be essential.
Big Data Technologies: Familiarity with tools like Apache Spark, Hadoop, or distributed computing platforms for handling large datasets.
Cloud Services: Experience with cloud platforms like AWS, Azure, or Google Cloud Platform for deploying AI solutions.
Version Control: Proficiency in using Git or other version control systems for collaborative development.
Software Engineering Practices: Understanding of software development methodologies, agile practices, and continuous integration/continuous deployment (CI/CD) pipelines.
AI and ML Experience:
Developing and deploying machine learning models in production environments.
Experience with data preprocessing, feature engineering, model training, and evaluation.
Knowledge of model optimization techniques for performance improvement and scalability.
Familiarity with AI ethics, bias mitigation, and responsible AI practices.
Industry Knowledge:
Understanding of the specific industry domain (e.g., healthcare, finance, e-commerce) where AI solutions will be applied.
Experience in developing AI applications tailored to industry needs and regulations.
Knowledge of relevant use cases and trends in AI for the industry.
Communication and Leadership:
Strong communication skills for collaborating with cross-functional teams, presenting technical concepts to non-technical stakeholders, and mentoring junior team members.
Leadership qualities such as the ability to lead AI projects, make strategic decisions, and drive innovation within the organization.
Problem-Solving and Analytical Skills:
Capacity to analyze complex problems, devise effective AI solutions, and troubleshoot technical issues.
Critical thinking and creativity in designing novel AI approaches to solve business challenges.
Continuous Learning:
Demonstrated commitment to staying updated with the latest AI/ML advancements, attending conferences, and contributing to the AI community through publications or open-source projects.
Salary
140 - 160 /year