Education Requirements:

• PhD

Experience Requirements:

• 5+ years experience of leading teams in speech recognition, computer vision or related deep learning field

Other Requirements:

• Experience with GenAI - an advantage

• Proven track-record in building ML-based systems used in production

• Proven track-record hiring, training, managing and retaining world-class engineers

• Solid engineering background

• Strong organizational and people management skills

• Experience working directly with product to deliver business value

• Excellent interpersonal and communications skills, good-spirited, and fun to work with hungry, driven, owner-like mind frame

Responsibilities:

• Managing the daily activities of our distributed research group

• Running an agile ML technology development and deployment process to deliver value for Verbit’s customers, provide ML-based tools that enable disruptive solutions and improving internal workflow

• Owning the strategic and tactical aspects of our IP development, balancing the short, medium and long term efforts

• Communicating effectively with product and engineering groups in order to work synergistically towards Verbit’s business goals

• Growing the team and hiring excellent machine learning engineers and researchers

Education Requirements:

• M.Sc.

• PhD

Experience Requirements:

• 3+ years more hands on experience in NLP

• 3+ years experience in deep learning

• 4+ hands on Python/Scala programming experience

Other Requirements:

• Knowledge of machine learning techniques and algorithms and be able to apply them in data driven natural language processing techniques

• Familiarity with large language models (3B parameters +)

• Ability to rapidly prototype ideas/solutions, perform critical analysis and use creative approaches for solving complex algorithmic problems

• Experience in building production quality deployment of applications related to natural language processing. - big advantage

Responsibilities:

• Build a strategic technological component in a game-changing product

• Play a key part in establishing a unique, multidisciplinary pioneering team

• Bring your analytical skills and curiosity to life through performing applied research in NLP

• Develop NLP based solutions from ideation to full production code, building software that implements AI algorithms while being robust, scalable and delivering high performance

• Work with various interfaces – Product, Full Stack Developers, Researchers, Data Scientists, UX and many more

Education Requirements:

• M.Sc.

• PhD

Experience Requirements:

• 4+ years of hands-on industry experience in NLP, deep learning, large language models, generative AI, and prompt engineering

• Proven track record of delivering AI-powered projects – a must

Other Requirements:

• Proficiency in Python – a must

• Strong technical skills – an advantage

• Result-driven and problem-solver

• Self-learner

• Team player

Responsibilities:

• Design, experiment, research, develop and productize advanced NLP solutions in various domains: classification, summarization, translation, enrichment, explainability, information extraction, information retrieval, and so on

• Finding the latest technology to improve our AI capabilities in a variety of languages

• Using advanced deep learning and large language models, to enhance Shield’s ability to find the needle in a haystack in the world of structured & unstructured data of financial electronic communication

• Develop processes and tools to monitor and analyze model performance and data accuracy

• Innovate, develop, and test state-of-the-art approaches to solve our challenging problems: domain adaptation, fine-tuning, prompt engineering, zero- and few-shot learning, using open and close large language models

Experience Requirements:

• 7+ years of industry experience in data science or machine learning roles

• Strong theoretical and practical knowledge of deep learning algorithms

Other Requirements:

• Proven experience developing and deploying end-to-end AI solutions in production environments

• Proficiency in Python, particularly in production environments

• Experience working with Large Language Models (LLMs)

• Familiarity with cloud services and containerization technologies like Docker

• Excellent communication skills, both written and verbal

• High level of English proficiency

• Ambitious, business-oriented mindset with a focus on delivering results

• Experience with MLOps principles and practices for scalable AI solutions

• Experience working with AI Agents and Prompt Optimization

• Proficiency in the data engineering side of AI projects, including building and maintaining data pipelines

• Participation in meetups, conferences, or other industry-related events is an advantage

Responsibilities:

• Work on both the data science and engineering aspects of projects

• Develop and deploy AI models and algorithms for real-world applications

• Research and identify solutions for complex, business-critical problems

• Communicate technical concepts effectively to both technical and non-technical stakeholders

• Lead projects from conception through to production, ensuring timely delivery

Experience Requirements:

• 5+ years of industry experience

• Strong background (both theoretical and practical) in deep learning algorithms

Other Requirements:

• Experience developing end-to-end solutions in production

• Proven experience in Python, particularly in production environments

• Experience with LLMs

• Proficiency with cloud services and Docker

• Excellent communication skills

• High level of English proficiency

• Ambitious and business-oriented mindset

Responsibilities:

• Work on data science and engineering aspects of projects

• Develop and deploy AI models and algorithms

• Research and identify solutions for complex problems

• Communicate technical concepts to both technical and non-technical stakeholders

• Drive projects from conception to production

Benefits:

• Free parking - onsite underground car park

• No oncall, weekend or public holiday commitment

• Staff discounts on cosmetic products and treatments

• Friendly team

Experience Requirements:

• Minimum 2 years of experience in perioperative nursing

Other Requirements:

• Unconditional APHRA registration, with full working rights in Australia

• Commitment to quality patient care

• Excellent communication and customer service skills

• Works well independently and within a team

• Current Police Check

• COVID-19/Influenza vaccination certification and immunisation history

Responsibilities:

• Delivering exceptional clinical care

Benefits:

• Industry-leading pay

• Flexible hours

• Meaningful work and transparency

• Develop your skills in AI training

Responsibilities:

• AI training

Benefits:

• Flexible working hours

• Modern office

• Steep learning curve

• Strong team culture

• Experienced mentors

Education Requirements:

• Agricultural background

Experience Requirements:

• Agricultural experience

Other Requirements:

• Desire to help farmers sustainably

• High motivation

Responsibilities:

• Accompanying farm visits

• Prioritizing customer needs

• Working on agronomic models

• Continuous improvement of agronomic models

Education Requirements:

• Ph.D. in Maths, engineering, physics, or computer science degree

• 1+ years of experience in software development

Experience Requirements:

• 1+ years of experience in software development

Other Requirements:

• Deep understanding of time series analysis, regression analysis, probability theory and statistics

• Ability to work under pressure in a continuously evolving environment

• Excellent communication skills

• Proficient in English

Responsibilities:

• Seek patterns in large datasets

• Evaluate, forecast, and simulate investment ideas

• Analyze risk in investment portfolios

• Review, implement, and analyze scientific papers

Benefits:

• Attractive remuneration

• Share option scheme

• Matching pension opportunity

• Travel to our offices

• Work with exciting and supportive team members

Education Requirements:

• Bachelor’s degree in statistics, machine learning, or related discipline

• PhD or Masters in Computer Science/Electrical Engineering or related fields with a focus on Computer Vision

Experience Requirements:

• Experience using frameworks such as Tensorflow, Keras, Pytorch

• Experiences with computer vision project using image classification, object detection, image segmentation and image mask

• Deep understanding of machine learning model hosting for inference and model optimization

• Coding skills in Python, Java or C++

• Ability to work in a fast-paced start-up environment

Other Requirements:

• Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis

• Proficiency with a statistical analysis package and associated scripting languages such as Python, R, Matlab, SAS

Responsibilities:

• Use the data to research, design, implement, and deploy scalable computer vision, deep learning, and image processing solutions to discover visual and associated textual relationships

• Develop tools to assist with algorithm development, algorithm testing, and image quality evaluation and validation

• Work closely with infrastructure engineers to make sure that your algorithms will effectively scale to large data sets and to ensure that their systems provide the flexibility needed for your ideas to become visible and real

• Measure the impact of your changes and come up with ideas for how to maximize that impact

• Prepare the reporting of data analysed in visual form

Benefits:

• Share scheme

• Company pension

• Office snacks

• Healthcare

Education Requirements:

• A bachelor or above in statistics, computer science, data science or related disciplines

Experience Requirements:

• Minimum 1+ years working experience in a modelling/ analysis/ statistics role

• Not less than 2+ years of solid experience in big data projects

Other Requirements:

• Strong computational background with experience in R, C++, Python and other data and code manipulation methodologies

• Experience using machine learning and deep learning framework such as TensorFlow, Keras, PyTorch etc and proficient with libraries such as numpy, matplotlib, scikit learn etc

• Formal training in big data analysis and knowledge in big data platform

• To be familiar with and hands-on experience on Big Data modelling techniques including logistic regression, decision tree and machine learning

• Positive attitude, good business acumen and can work under tight timeline

Responsibilities:

• Assist Team to develop and maintain NLP, computer vision and speech recognition models

• Leverage big data analytic techniques to build predictive models from voluminous data collected from customer touch points

• Perform statistical analyses and provide insightful comments for business team

• Lead fellow analysts to complete modelling and analytic projects

• Drive automation of analytical projects with the team

Benefits:

• Competitive Pay

• Equity

• Take Time Away

• Two & Five Year Anniversary Awards

• Wellness