Applications are invited from interested candidates for Senior Machine Learning Research Engineer at Infrrd (Remote).
About Infrrd
Infrrd is an award-winning AI firm focused on applying machine learning to improving business processes. The company’s platform employs next-generation AI capabilities to help enterprises transform their businesses. Proprietary technology removes bottlenecks caused by manual data entry and unlocks data from complex documents to power digitization.
Infrrd’s unique ML-first approach can automatically extract data from documents with complex visual elements, surpassing OCR’s performance limitations to help you maximize straight-through processing.
Job Description
We are looking for Senior Machine Learning Research Engineer specialized in Natural Language Processing to work with the Research and Development team and help us navigate our technology.
Key Responsibilities
- Breaks down and understands complex business problems, translates it to a machine learning problem.
- Designs and develops scalable solutions that leverage machine learning and deep learning models to meet enterprise requirements.
- Create metrics to continuously evaluate the performance of machine learning solutions and maintain model relevancy.
- Keeping up with new tools, algorithms, and techniques in the machine learning space and implementing them in the organization.
- Supporting existing deep learning-based architectures and design the new ones as required.
- Keeping up with existing research and implement the state of the art solutions along with coming up with novel ways to further improve on it.
Requirements
- Bachelors or Masters or PhD in Computer Science Engineering, or a related discipline with a focus on artificial intelligence, machine learning and Natural Language Processing.
- 6+ years of experience in designing and developing machine learning applications
- 3+ years of experience in solving complex Natural Language Processing applications
- Industry experience in NLP and Machine Learning.
- A mathematical, statistical and probability inclination and deep understanding of the AI concepts.
- Strong coding skills in Python and C++ or any AI language of choice.
- Strong understanding of probability and statistical models (generative and descriptive models)
- Proficiency in machine learning algorithms such as multi-class classifications, clustering, verification
- Proficiency in deep learning architectures like Transformers, LSTM, RNN, CRF etc
- Experience with NLP/ML tools and packages like TensorFlow, Caffe, PyTorch et al.
- Ability to run experiments scientifically and analyze results.
- Should have worked with a research team and contributed to either Publications, patents or must have participated in research competitions related to NLP
How to Apply?
Interested candidates can apply for the post through this link.
