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Senior AI Engineer

Role overview

Qualifications

  • 5+ years of hands-on experience in production environments
  • Proficient in Python with extensive experience in developing and deploying production-grade software
  • Deep understanding of engineering and infrastructure best practices
  • Extensive experience working with modern deep learning techniques, LLMs, and advanced NLP architectures

Responsibilities

  • Identify and implement opportunities where AI can create tangible value for our customers in their compliance journey
  • Design and develop production-grade AI solutions that automate complex compliance tasks
  • Build and optimize advanced NLP models for regulatory document analysis and interpretation
  • Work closely with product managers and compliance experts to translate business requirements into technical solutions

About the company

Compliance & Risks logo

Compliance & Risks

RegTech (Regulatory & Compliance Technology)

Compliance & Risks helps companies unlock market access by simplifying the world of product compliance. Our software, regulatory content and team of subject matter experts provide the most comprehensive market access solutions in the world.

Company details

Company typeSME
IndustryRegTech (Regulatory & Compliance Technology)
Company size51 - 200

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Job description

Job Title: Senior AI Engineer

Reports to: Head of AI

Location: Ireland - Remote


The Challenge

Would you like to revolutionize how global companies navigate complex regulatory landscapes? Are you excited about building AI systems that transform traditional compliance processes into intelligent, automated solutions? We're seeking a Senior AI Engineer to help us transition from traditional software-as-a-service to results-as-a-service in the compliance space.


The Opportunity

As a Senior AI Engineer, you'll be at the forefront of applying cutting-edge AI technologies to solve real-world compliance challenges. You'll work with a team dedicated to building AI-powered solutions that help global enterprises understand, manage, and automate their compliance processes across multiple markets and jurisdictions.


Core Responsibilities:

  • Product Development & Innovation:
    • Identify and implement opportunities where AI can create tangible value for our customers in their compliance journey.
    • Design and develop production-grade AI solutions that automate complex compliance tasks.
    • Build and optimize advanced NLP models for regulatory document analysis and interpretation
    • Contribute to finding the right ML framing of compliance challenges
    • Create scalable AI systems that can handle diverse regulatory requirements across different markets.
  • Technical Leadership
    • Take algorithms from proof-of-concept to production, ensuring robustness and scalability.
    • Establish processes for large-scale data analysis, model development, validation, and deployment.
    • Build and maintain ML infrastructure that can evolve with our growing needs.
    • Implement monitoring systems to track model performance and compliance accuracy.
    • Ensure our AI solutions maintain high standards of explainability and ethical considerations.
  • Cross-functional Collaboration
    • Work closely with product managers and compliance experts to translate business requirements into technical solutions.
    • Partner with engineering teams to integrate AI capabilities into our core platform.
    • Contribute to technical documentation and knowledge sharing.
    • Participate in architecture discussions and technical decision-making.


Key Skills that we are looking for:

  • 5+ years of hands-on experience in production environments, with a strong industry track record of designing and architecting distributed systems.
  • Proficient in Python with extensive experience in developing and deploying production-grade software, utilizing machine learning frameworks such as TensorFlow, PyTorch, etc.
  • Deep understanding of engineering and infrastructure best practices with a focus on the machine learning software development lifecycle.
  • Extensive experience working with modern deep learning techniques, LLMs, and advanced NLP architectures building data intensive applications
  • Experience with techniques for optimizing ML inference performance.
  • Hands-on expertise in designing, developing, and managing batch and real-time ML pipelines/workflows for processing complex structured and unstructured data on AWS, utilizing SageMaker, ECS, EKS, Airflow and related tools.
  • Excellent communication skills, with the ability to collaborate effectively within engineering teams and across various disciplines.


About us:

Adherent provides global companies with the tools, insights, and expertise to build safe, sustainable products. With two decades of experience, we help monitor, assess, and prove compliance, protecting your brand and driving growth in an evolving regulatory landscape.

The company serves over 320+ global enterprise customers including: GE, Google, Nike, Amazon, Bose, Tesla, Vaillant, Unisys, Samsung and Fujitsu.


We take pride in what we build

We are a product company. We understand the impact our product has on the world and for our company. We watch it iterate, evolve, grow. We can easily connect the code we write to the problems we are solving for companies who are trying to build and sell their products in the global market. Whether it’s a hoodie, a car or a laptop, we can see our code helping to get that product to the high street.


We take pride in how we build

Our self organizing teams make the decisions in how they architect, implement and deliver the code that they write. We support the decisions they bring, and trust our teams to present the options that make most sense for the company, the team and for the growth of the individuals.


We are a diverse team in Adherent and we are committed to building and promoting an inclusive place to work for everyone. We strive to attract and retain a diverse range of people into our organization. We aim to increase the diversity of our employee base by growing our diverse talent pipeline, including partnerships with organizations like Resilient Coders, Women who code, Women in Tech. We are committed to equality of opportunity for all employees, by promoting a work environment free from bullying, discrimination or harassment. Adherent is an equal opportunities employer.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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