About the project

We are a leading company in the field of reverse logistics and technology solutions for

the supply chain industry. We offer a wide range of services including asset recovery,

returns management, refurbishment, and resale of products. By specialising in

optimising the value recovery process for returned and excess inventory, we help

businesses enhance their operational efficiency and reduce waste in their supply chain

operations. Our focus on innovative solutions and industry expertise makes them a

trusted partner for companies looking to streamline their logistics processes and

maximise the value of their products.

Responsibilities

● Explore and apply Generative AI techniques, such as Generative Adversarial

Networks (GANs), Variational Autoencoders (VAEs), and transformer-based

models (e.g., GPT-3, T5), to develop solutions for text generation, data

augmentation, and other creative use cases.

● Develop and optimize machine learning models using supervised learning

techniques such as regression, classification, Support Vector Machines (SVMs),

and decision trees

● Implement MLOps best practices, including CI/CD pipelines, model versioning,

and automated retraining using tools like MLflow, Kubeflow, and Azure ML

Pipelines

● Strive with complex challenges, uncertainty, legacy code, etc.

Requirements

● 5+ years of experience as an AI/ML Engineer

● Proficiency in Python and machine learning libraries such as scikit-learn,

TensorFlow, PyTorch, Keras, Hugging Face Transformers, NLTK, and SpaCy.

● Deep knowledge and experience working on Large Language Models (LLM), ML,

deep learning, sci-kit learn and other frameworks and libraries.

● Understanding of software development architecture, data structures, and data

modeling

● Experience with Generative AI models such as GANs, VAEs, and transformers

for tasks like text generation and data augmentation.

● Experience with cloud platforms for model deployment, including Azure ML,

AWS, or GCP.

● Familiarity with MLOps tools such as MLflow, Kubeflow, and Azure ML Pipelines

for tracking, monitoring, and automating ML models.

● Excellent communication skills with the ability to explain complex technical

concepts to non-technical stakeholders.

Must have:

● Advanced English proficiency

● Bachelor’s degree in Computer Science, Information Technology or related

fields

Why Join Us?

🚀 Lead AI-powered automation initiatives—we don’t just use AI, we optimize it!

💡 Build cutting-edge AI applications—your work will directly impact real-world business

intelligence

🔗 Collaborate with top engineers & AI specialists—work on high-impact projects

🌍 Remote-friendly, results-driven culture—flexible work environment