Machine Learning Engineer

About

At BrainAlive, we develop next generation BCI technologies that transform how humans use bio signals to develop a crisp, conscious understanding of their physiology, especially relating to their cognitive and emotional abilities. Our mission is to become the innovation leader in the area of Brain Computer Interface (BCI). We are building our reputation as the industry powerhouse for innovation in BCI applications in education and healthcare space.

Machine Learning Engineer - I
Role-Machine Learning Engineer-I

Join BrainAlive and become part of our Machine Learning team that helps discover the information hidden in vast amounts of bio signal and computer vision data, to deliver smart products. Your primary focus will be on applying deep learning techniques, doing statistical analysis, and building high-quality classification and prediction systems integrated with our products. We need you to be versatile, display leadership qualities and be enthusiastic to take on new problems as we continue to push technology forward.

Responsibilities
  • Designing Machine/deep Learning algorithms for electro-physiological signals
  • Demonstrating algorithms meeting accuracy requirements on general user population through statistical analyses and error estimation
  • Writing technical reports summarizing development, analysis, training and validation of the algorithms
Required skills
  • Proficient in Python / MATLAB
  • Understanding of data structures and data modeling
  • Self-motivated individual with passion towards state-of-the-art technologies
  • Excellent communication skills
  • Outstanding analytical and problem-solving skills
Good to have skills
  • Academic experience/strong project experience with machine learning or deep learning programming using libraries such as PyTorch, TensorFlow, OpenCV, Caffe
  • Good background and understanding of mathematical concepts relating to probabilistic models, conditional probability, numerical methods and linear algebra.
You will fit in if you have:
  • Appreciation for Start-up
  • Hacker attitude to make your way through unfamiliar territory with little help
  • Enthusiasm to get things done with responsibility
Machine Learning Engineer - II
Role - Machine Learning Engineer-II

Join BrainAlive and become part of our Machine Learning team that helps discover the information hidden in vast amounts of bio signal and computer vision data, to deliver smart products. Your primary focus will be on applying deep learning techniques, doing statistical analysis, and building high-quality classification and prediction systems integrated with our products. We need you to be versatile, display leadership qualities and be enthusiastic to take on new problems as we continue to push technology forward.

Responsibilities
  • Conducting data processing and analysis, using DSP techniques and methods, to extract information of the EEG signal data for detection of various attributes of the mental state of a subject. Designing Machine Learning algorithms for electro-physiological signals in numerical analysis languages : Matlab, Python, C/C++etc.
  • Demonstrating algorithms meeting accuracy requirements on general user population through statistical analyses and error estimation.
  • Writing technical reports summarizing development, analysis, training and validation of the algorithms.
Required Qualification
  • B.Tech./M.Tech/Ph.D in Computer Science or Electronics (Machine Learning, AI, Statistics, or equivalent)
  • More than 2 years of industrial/academic experience in building ontology mapping and extraction models
  • Strong technical skills, deep understanding, work experience and or exposure to DSP implementations, filtering, transforms, data visualization, machine learning, timing and signal recovery.
  • Willingness to divert from the conventional methods to explore alternative approaches.
  • Knowledge of optimization, multi-threaded development and cross-platform development.
  • Experience in statistical analysis and programming projects on data analysis algorithms / signal processing.
  • Experience using Python , C++ , R, MATLAB, Java or similar scripting language
Preferred Qualification
  • Experience with real-time signal processing.
  • Experience in advanced signal analysis of physiologic signals required with specific knowledge in EEG preferred.
  • Extensive practical experience in several of the following areas: ML, Natural Language Processing, Ontology mapping, Clustering techniques, applied ML or AI features/products/systems
  • Ability to handle multiple competing priorities in a fast-paced environment
  • Significant peer reviewed scientific contributions in premier journals and conferences
  • Proven track record of production achievements
  • Strong personal interest in learning, researching, and creating new technologies with high customer impact
  • Experience with defining research and development practices in an applied environment
  • Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.
  • Strong fundamentals in problem solving, algorithm design and complexity analysis
You will fit in if you have:
  • Appreciation for Start-up
  • Hacker attitude to make your way through unfamiliar territory with little help
  • Enthusiasm to get things done with responsibility