Description:

Our Client is looking for an AI/ML Engineer who can help design and deploy responsible, explainable, and neuroinclusive AI models that power analytics and insights.
As an AI/ML Engineer, you will develop and deploy machine learning models that analyze workplace data, predict team dynamics, and provide actionable insights while ensuring fairness, transparency, and compliance with GDPR and ethical AI standards.
Key responsibilities include designing, training, and deploying AI/ML models for team analytics, psychometric analysis, and predictive insights.
You will work with structured and unstructured data, ensuring quality, consistency, and compliance.
Implementing explainable AI (XAI) techniques to ensure transparency in decision-making is essential.
You will optimize models for efficiency, performance, and fairness, reducing algorithmic bias.
Deploying AI models to production-ready cloud environments (AWS/GCP/Azure, Kubernetes, Docker) is a critical task.
Collaboration with product and UX teams is necessary to ensure AI insights are interpretable and useful for users.
Ensuring data privacy, security, and compliance (GDPR, ISO 27001, AI Act) is a key responsibility.
Researching and integrating state-of-the-art NLP, computer vision, and deep learning models as needed is also part of the role.

Requirements:

You must have experience in machine learning, deep learning, or NLP, with real-world model deployment experience.
Proficiency in Python, TensorFlow/PyTorch, and Scikit-learn is required.
Experience working with vector databases, embeddings, and LLMs (e.g., OpenAI, Hugging Face, RAG) is necessary.
Knowledge of MLOps best practices, including CI/CD for ML, monitoring, and versioning is essential.
A strong understanding of AI fairness, bias mitigation, and explainability techniques is required.
Experience deploying models in cloud environments (AWS/GCP/Azure) with containerization (Docker, Kubernetes) is necessary.
Understanding of privacy-first AI, differential privacy, and federated learning is a bonus.
A passion for neuroinclusive and ethical AI development is essential.

You will work on a meaningful product that makes workplaces more inclusive.
The position offers a fully remote, flexible working culture.
There is an opportunity to shape the product and tech stack from an early stage.
Equity options in a growing company are included as part of the benefits.