Machine Learning Engineer

An Ideal Candidate:

We are looking for a Machine Learning Engineer to join our dynamic team, dedicated to pushing the boundaries of technology and artificial intelligence. As a global leader in innovative solutions, we pride ourselves on delivering cutting-edge developments that drive meaningful impacts across diverse industries. The successful candidate will have an opportunity to work on exciting projects involving PyTorch, Python, NLP, neural networks, graphs, and various ML models. Our team values collaboration, creativity, and a commitment to quality, ensuring you have an environment where your skills can thrive and contribute to world-class solutions.

Key Competencies:

• Develop and deploy information extraction models for entity, relationship, and attribute extraction.
• Utilize neural networks (LSTMs, GRUs, Siamese) and pre-trained models (BERT, T5, Transformers).
• Fine-tune and optimize existing models for improved accuracy and efficiency.
• Leverage knowledge graphs for enhancing information extraction and inference capabilities.
• Integrate neuro-symbolic AI techniques for reasoning and knowledge representation.
• Contribute to the creation and maintenance of knowledge graphs from unstructured text data.
• Explore applications of knowledge graphs in question-answering and decision-making systems.
• Collaborate with the team to integrate solutions into larger systems. Potentially contribute to sentiment analysis, text generation, and translation projects.
• Strong Python skills and experience with TensorFlow (or similar) and knowledge graph technologies required.
• Be able to evaluate and transform latest, untested academic methods into production workflows.
• Self-driven, highly motivated and ability to work both independently and within a team.
• Operate optimally in fast-paced development environment with dynamic changes, tight deadlines and limited resources.