
AI Engineer
Remote
Contractor
#Artificial Intelligence
#Machine Learning
#Technology
#Python
#TensorFlow
#PyTorch
#Hugging Face
#OpenAI
#Azure
#MLOps
#NLP
#Deep Learning
At IANS, we serve as a premier advisory and consulting firm dedicated to helping Fortune-class organizations navigate the complexities of information security. Our mission is to provide actionable insights and decision support that empower security teams to manage risk and achieve technical excellence. We rely on our unique Faculty, a network of independent practitioners and thought leaders, to drive the expertise and educational events that define our services. We are currently looking for a talented professional to help us advance our technological capabilities and integrate sophisticated AI solutions into our offerings.
About the Role
We are seeking a Mid-Level AI Engineer to join us on a contractor basis. In this role, you will take the lead on our AI initiatives, focusing on the design, implementation, and maintenance of advanced machine learning models. You will work closely with our cross-functional teams to ensure our AI strategy is both innovative and aligned with our core business objectives.
Key Responsibilities
- Develop, fine-tune, and deploy Large Language Models and other AI solutions to address specific business challenges while ensuring scalability and efficiency.
- Write high-quality, maintainable Python code and build robust APIs that allow our AI models to integrate seamlessly with both internal and external systems.
- Manage the end-to-end lifecycle of AI models by utilizing MLOps best practices, monitoring performance in production environments, and ensuring all outputs meet ethical and privacy standards.
Requirements
To succeed in this position, you should possess the following qualifications:
- At least 2 years of professional experience in AI/ML engineering, specifically with hands-on work involving LLMs.
- Proficiency in Python and experience with industry-standard frameworks such as TensorFlow, PyTorch, Hugging Face, and the OpenAI API.
- Demonstrated experience deploying models within cloud environments, specifically Azure.
- A solid understanding of NLP, deep learning, and MLOps practices for model monitoring and version control.
- Strong communication skills in English, with a proficiency level of C1 or higher.
Location
This is a remote position available to candidates located anywhere.
Compensation and Benefits
We offer a supportive and growth-oriented environment where you can take ownership of critical projects. Our benefits include:
- The flexibility of remote work.
- The opportunity to work with cutting-edge AI technologies.
- A collaborative culture focused on professional development and strategic innovation.







