Job Openings

Location:

• Bangalore

Minimum Qualification:

• MTech/MS/MSc, has worked with Deep Neural Networks for their thesis

• Has worked in the industry for at least 2-5 years as an Machine Learning Engineer

Ideal Candidates:

• Professionals working in the industry in building Deep Neural Networks with a strong aptitude for coding and research would be ideal for the Research Software Engineer position.

• MTech/MS/MSc in Computer Science or Mathematics related departments working on Deep Neural Networks as part of their Thesis and with a strong aptitude for coding would be ideal for the Research Software Engineer position.

• This position requires strong coding expertise using PyTorch or TensorFlow.

• Applicants with hands-on experience in building Diffusion, Graph Neural Networks or Point Cloud Architectures would be given higher priority.

Responsibilities:

• Designing and implementing deep learning algorithms from scratch to solve unique problems

  • Please note: this in a research and  engineering position and not a data analytics or MLOps opening

• Write extensive code from scratch for Training, Inference, Data Analysis and Processing

• Understanding and deriving mathematical equations

• Exhaustive literature review of existing machine learning and deep learning approaches

• Understanding data and refining feature set

• Learning and Adapting Fast in an early stage start-up

• End to end responsibility of R&D, Designing, Development, Testing and Release of products

• Working in cross-domain team with software engineers, immunologists, biochemists and bioinformaticians

Must Have:

• Hands-on experience in writing code in one or more programming languages (preferably Python)

• Prior professional experience in building custom Deep Neural Networks from scratch

• Strong Software Engineering, Machine Learning and Mathematical skills

• Prior experience with PyTorch or TensorFlow

• Can work and communicate in a cross-domain team

• Ability to explore new problem statements

• Open to learn and explore new avenues

Good to Have:

• Prior professional experience in building custom Diffusion models

• Prior professional experience in building custom Graph Neural Network models

• Prior professional experience in building custom Point Cloud Architectures