onsite

Machine Learning Engineer

Relecura is seeking an Entry-Level ML Ops Engineer with 2-3 years of experience to join their R&D team. This role involves designing and implementing deep learning architectures and ML pipelines, analyzing and visualizing large text datasets, and deploying models as APIs. The ideal candidate will have strong programming skills in Python and experience with machine learning, NLP, and deep learning frameworks.

About the role

About the Role

The Relecura R&D team is looking for an ML Ops Engineer to work on our products. Do you want to build amazing products and tackle complex questions?

We are looking for candidates who are good with Programming Python, Machine Learning algorithms, Natural language processing, and Deep Learning model building using Transformers and various BERT algorithms. You will be working on an end-to-end ML pipeline and large quantity of text data. Applying a state-of-the-art ML research ideas into the patent and IP domain to enhance AI capabilities of our tool.

Company Profile

Relecura is an AI/ML/NLP-based Cloud company that offers multiple SaaS products that help Researchers, IP Professionals & Decision-makers manage technical data and patents and derive actionable insights. It is revolutionizing the way technical intelligence is obtained. AI/ML/NLP propelled tools are offered for automated semantic analysis and predictive analytics to process technical information, by which users can extract insights in minutes from huge and seemingly unwieldy datasets. Relecura offers various analytical tools and a custom enterprise platform to corporations, law firms, technology companies, IP services firms, R&D organizations, and academic institutions, and any other entity with a stake in IP and technology. Lear more about us here: https://relecura.com.

Responsibilities

Understanding the feature requirement and design the Deep learning architecture and ML pipeline.
Analysing the data using various EDA techniques.
Data visualization and identifying insights.
Train, test and validate the deep learning models.
Training the state-of-the-art Deep learning models and fine tuning it.
Optimising the training time and accuracy of the model.
Deploy the model as an API.

Skills Required

Programming languages:

Python, Julia, R (any one)

Must be familiar with the following:

ML and data analysis packages: scikit-learn, numpy, pandas (all)
Deep learning frameworks: PyTorch, Tensorflow, Keras (any one)
NLP packages: spacy, NLTK, Stanford core NLP (any one)
Web apps: flask, Dash, Django, FastAPI, gradio (any one)
Cloud: AWS sagemaker, AutoML, lambda

Basic Qualifications

Master’s degree OR Bachelor’s degree in Engineering or science with Projects done in at least one of the following areas: Computer vision, Image processing, Machine Learning, Statistical modelling/inference, Data mining, NLP, Graph/geometric deep learning.

Application Procedure

Applicants need to submit their CV and a cover letter to jobs@relecura.com.