About NeuralSpaceNeuralSpace is an early-stage artificial intelligence (AI) start-up, which specialises in building Natural Language Processing (NLP) tools for an infinite number of use-cases (100+ languages are supported by NeuralSpace’s proprietary technology). We create the tools which enable companies to build cutting-edge technologies, from chatbots and augmented video translations, through to smart assistants, intelligent document processing and hate-speech detection. Our vision is to break down the language barrier once and for all and facilitate the implementation of our breakthrough technology. Why NeuralSpace?NeuralSpace is built on strong academic foundations which reflect in our products. We are a group of passionate AI researchers and engineers who are constantly trying to bring state-of-the-art NLP research into our products. We are building this cross-disciplinary team with people who have the potential to become leaders. We already have the backing of some top VC investors and are now looking to make some important early hires that will enable us to scale the business. About the Role:We are looking for a highly capable Machine Learning Engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. Roles & Responsibilities

• Consulting with managers to determine and refine machine learning objectives
• Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models
• Transforming data science prototypes and applying appropriate ML algorithms and tools
• Ensuring that algorithms generate accurate user recommendations
• Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks
• Developing ML algorithms to analyze huge volumes of historical data to make predictions
• Running tests, performing statistical analysis, and interpreting test results
• Documenting machine learning processes
• Keeping abreast of developments in machine learning

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent work experience)
• 4-5 years of experience as a Machine Learning Engineer or similar role
• Proven Understanding of data structures, data modeling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Ability to write robust code in Python, Java and R
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Excellent communication skills
• Ability to work in a team
• Outstanding analytical and problem-solving skills

Benefits

• The ability to work closely with some of the world’s foremost AI and NLP experts
• An agile work environment
• A self-organized team culture designed for natural leaders
• Genuine growth and career development opportunities
• Competitive base salary, performance-led bonus and employee option scheme

Work Location: Bangalore, India We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Contact us: eliya@neuralspace.ai