Education Requirements:

• Extensive experience in working on machine learning and deep learning algorithms (eg. NLP, computer vision)

• Conceptual and applied understanding of machine learning technologies like transformers

• Prior experience in deploying machine learning algorithms

Other Requirements:

• Passionate about healthcare and compassionate towards solving problems for social impact, using data science

Responsibilities:

• Project ownership

• 0 to 1 algorithm/model development

• Communicating with key stakeholders in the organization

• Passionate about healthcare and compassionate towards solving problems for social impact, using data science

Benefits:

• Sport subscription

• Medical insurance

• Training budget

• Modern Office, no dress code & young team

• Bonus policy

Experience Requirements:

• Experience with deep learning algorithms applied to various areas of Computer Vision

• Familiarity with popular architectures such as Vision Transformers, DeepLabv3, SegFormer, etc

• Good understanding of transfer learning and popular augmentation techniques

• Proven experience in tackling common computer vision tasks including image classification, detection, segmentation, face recognition, pose estimation, etc

• Working knowledge of CV-related training procedures, validation techniques and datasets

Other Requirements:

• The ability to apply machine learning to real-life problems

• Good knowledge of machine learning algorithms, model training, hyper parameter tuning

• Working knowledge of deep learning models, loss functions, and performance measures

• Strong Python skills, hands-on proficiency in using machine learning tools: Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras

• The ability to share your knowledge and willingness to learn continuously

• English B2+ level at minimum

Responsibilities:

• Developing Deep Learning solutions in various Computer Vision tasks

• Developing the methodology and assessment criteria to measure solution performance

• Tracking and implementing recent advancements in Deep Learning and Computer Vision areas

• Maintaining internal ML-products

Benefits:

• Sport subscription

• Medical insurance

• Training budget

• Modern Office, no dress code & young team

• Bonus policy

Experience Requirements:

• Experience with deep learning algorithms applied to various areas of Computer Vision

• Familiarity with popular architectures such as Vision Transformers, DeepLabv3, SegFormer, etc

• Good understanding of transfer learning and popular augmentation techniques

• Proven experience in tackling common computer vision tasks including image classification, detection, segmentation, face recognition, pose estimation, etc

• Working knowledge of CV-related training procedures, validation techniques and datasets

Other Requirements:

• The ability to apply machine learning to real-life problems

• Good knowledge of machine learning algorithms, model training, hyper parameter tuning

• Working knowledge of deep learning models, loss functions, and performance measures

• Strong Python skills, hands-on proficiency in using machine learning tools: Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras

• The ability to share your knowledge and willingness to learn continuously

• English B2+ level at minimum

Responsibilities:

• Developing Deep Learning solutions in various Computer Vision tasks

• Developing the methodology and assessment criteria to measure solution performance

• Tracking and implementing recent advancements in Deep Learning and Computer Vision areas

• Maintaining internal ML-products

Benefits:

• Best in Class Medical Insurance

• Mental Health Programs

• Contemporary Leave Policy

• Company Sponsored Offsites

Education Requirements:

• Bachelor’s or Master's degree in Linguistics, Computational Linguistics, Gujrati Language, or a related field

Experience Requirements:

• 0.6-4 Experience

Other Requirements:

• Proficiency in Gujrati, including an in-depth understanding of grammar, syntax, and cultural nuances

• Understanding with NLP (Natural Language Processing) and conversational AI technologies

• Strong communication skills and the ability to work collaboratively in a team environment

• Attention to detail and a passion for language and linguistic analysis

• Previous experience in linguistic analysis, translation, or NLP projects is desirable

• Ability to adapt to a dynamic work environment and handle multiple tasks simultaneously

• Experience in working with language data, annotation tools, and linguistic databases

• Understanding of machine learning concepts and their application to language processing

Responsibilities:

• Conduct linguistic analysis of the Gujrati language to identify linguistic patterns, nuances, and cultural elements relevant to the conversational AI domain

• Collaborate with the development team to create and refine language models for conversational AI in Gujrati, considering syntax, grammar, and vocabulary

• Translate and localize content from English or other languages into Gujrati, ensuring cultural appropriateness and linguistic accuracy

• Conduct rigorous testing and quality assurance of the conversational AI system to verify the linguistic accuracy and naturalness of the output in Gujrati

• Work on data collection, annotation, and validation tasks for training conversational AI models in Gujrati, ensuring high-quality, diverse, and representative language data

Benefits:

• Best in Class Medical Insurance

• Mental Health Programs

• Contemporary Leave Policy

• Company Sponsored Offsites

Education Requirements:

• Bachelor’s or Master's degree in Linguistics, Computational Linguistics, Assamese Language, or a related field

Experience Requirements:

• 0.6-4 Experience

Other Requirements:

• Proficiency in Assamese, including an in-depth understanding of grammar, syntax, and cultural nuances

• Understanding with NLP (Natural Language Processing) and conversational AI technologies

• Strong communication skills and the ability to work collaboratively in a team environment

• Attention to detail and a passion for language and linguistic analysis

• Previous experience in linguistic analysis, translation, or NLP projects is desirable

• Ability to adapt to a dynamic work environment and handle multiple tasks simultaneously

• Experience in working with language data, annotation tools, and linguistic databases

• Understanding of machine learning concepts and their application to language processing

Responsibilities:

• Conduct linguistic analysis of the Assamese language to identify linguistic patterns, nuances, and cultural elements relevant to the conversational AI domain

• Collaborate with the development team to create and refine language models for conversational AI in Assamese, considering syntax, grammar, and vocabulary

• Translate and localize content from English or other languages into Assamese, ensuring cultural appropriateness and linguistic accuracy

• Conduct rigorous testing and quality assurance of the conversational AI system to verify the linguistic accuracy and naturalness of the output in Assamese

• Work on data collection, annotation, and validation tasks for training conversational AI models in Assamese, ensuring high-quality, diverse, and representative language data

Benefits:

• Best in Class Medical Insurance

• Mental Health Programs

• Contemporary Leave Policy

• Company Sponsored Offsites

Education Requirements:

• Bachelor’s or Master's degree in Linguistics, Computational Linguistics, Odia Language, or a related field

Experience Requirements:

• 0.6-4 Experience

Other Requirements:

• Proficiency in Odia, including an in-depth understanding of grammar, syntax, and cultural nuances

• Understanding with NLP (Natural Language Processing) and conversational AI technologies

• Strong communication skills and the ability to work collaboratively in a team environment

• Attention to detail and a passion for language and linguistic analysis

• Previous experience in linguistic analysis, translation, or NLP projects is desirable

• Ability to adapt to a dynamic work environment and handle multiple tasks simultaneously

• Experience in working with language data, annotation tools, and linguistic databases

• Understanding of machine learning concepts and their application to language processing

Responsibilities:

• Conduct linguistic analysis of the Odia language to identify linguistic patterns, nuances, and cultural elements relevant to the conversational AI domain

• Collaborate with the development team to create and refine language models for conversational AI in Odia, considering syntax, grammar, and vocabulary

• Translate and localize content from English or other languages into Odia, ensuring cultural appropriateness and linguistic accuracy

• Conduct rigorous testing and quality assurance of the conversational AI system to verify the linguistic accuracy and naturalness of the output in Odia

• Work on data collection, annotation, and validation tasks for training conversational AI models in Odia, ensuring high-quality, diverse, and representative language data

Benefits:

• Best in Class Medical Insurance

• Mental Health Programs

• Contemporary Leave Policy

• Company Sponsored Offsites

Education Requirements:

• Bachelor’s or Master's degree in Linguistics, Computational Linguistics, Marathi Language, or a related field

Experience Requirements:

• 0.6-4 Experience

Other Requirements:

• Proficiency in Marathi, including an in-depth understanding of grammar, syntax, and cultural nuances

• Understanding with NLP (Natural Language Processing) and conversational AI technologies

• Strong communication skills and the ability to work collaboratively in a team environment

• Attention to detail and a passion for language and linguistic analysis

• Previous experience in linguistic analysis, translation, or NLP projects is desirable

• Ability to adapt to a dynamic work environment and handle multiple tasks simultaneously

• Experience in working with language data, annotation tools, and linguistic databases

• Understanding of machine learning concepts and their application to language processing

Responsibilities:

• Conduct linguistic analysis of the Marathi language to identify linguistic patterns, nuances, and cultural elements relevant to the conversational AI domain

• Collaborate with the development team to create and refine language models for conversational AI in Marathi, considering syntax, grammar, and vocabulary

• Translate and localize content from English or other languages into Marathi, ensuring cultural appropriateness and linguistic accuracy

• Conduct rigorous testing and quality assurance of the conversational AI system to verify the linguistic accuracy and naturalness of the output in Marathi

• Work on data collection, annotation, and validation tasks for training conversational AI models in Marathi, ensuring high-quality, diverse, and representative language data

Benefits:

• Best in Class Medical Insurance

• Mental Health Programs

• Contemporary Leave Policy

• Company Sponsored Offsites

Education Requirements:

• Bachelor’s or Master's degree in Linguistics, Computational Linguistics, Bengali Language, or a related field

Experience Requirements:

• 0.6-4 Experience

Other Requirements:

• Proficiency in Bengali, including an in-depth understanding of grammar, syntax, and cultural nuances

• Understanding with NLP (Natural Language Processing) and conversational AI technologies

• Strong communication skills and the ability to work collaboratively in a team environment

• Attention to detail and a passion for language and linguistic analysis

• Previous experience in linguistic analysis, translation, or NLP projects is desirable

• Ability to adapt to a dynamic work environment and handle multiple tasks simultaneously

• Experience in working with language data, annotation tools, and linguistic databases

• Understanding of machine learning concepts and their application to language processing

Responsibilities:

• Conduct linguistic analysis of the Bengali language to identify linguistic patterns, nuances, and cultural elements relevant to the conversational AI domain

• Collaborate with the development team to create and refine language models for conversational AI in Bengali, considering syntax, grammar, and vocabulary

• Translate and localize content from English or other languages into Bengali, ensuring cultural appropriateness and linguistic accuracy

• Conduct rigorous testing and quality assurance of the conversational AI system to verify the linguistic accuracy and naturalness of the output in Bengali

• Work on data collection, annotation, and validation tasks for training conversational AI models in Bengali, ensuring high-quality, diverse, and representative language data

Education Requirements:

• Currently Enrolled or graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in machine learning preferred

Experience Requirements:

• Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application

• Experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks and LSTM

• Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and strong experience in at least one of those

• Excellent programming skills in prototyping languages such as Python and R. Python is preferred

Responsibilities:

• participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms

Experience Requirements:

• 4+ years of working knowledge of Python, R and SQL

Other Requirements:

• Ability to work in startup culture

• Analytical and data science skills

• Ability to process the data in real-time streams to detect patterns and anomalies

Responsibilities:

• Design, develop, and evaluate machine learning models

• Build and enhance predictive and forecasting models on various business insights

• Enhance our data-informed decision making system

Benefits:

• Work with excellent people in a dynamic environment

• Help drive the AI revolution in cancer diagnostics

• Lead the implementation of new product management processes in Ibex

Experience Requirements:

• Proven experience as a licensed pathologist

Other Requirements:

• Experience in conducting clinical studies and clinical writing – an advantage

• Experience in a Medtech company – an advantage

• Willing to work in a dynamic and intense start-up environment

• Fluent in English

• Great communication skills

Responsibilities:

• Work closely with R&D team on new applications

• Annotate various cell types and structures in whole-slide images

• Analysis of algorithmic performance and clinical data

• Design and execution of clinical research and case studies

• Advise on improvements to platform, workflow and user-interface

Other Requirements:

• Feel free to write to us what are your field of interest so we could approach you with accurate matches

Experience Requirements:

• Proven experience as a Data Scientist or similar role

• Proficiency in SQL, Python, R

• Experience with data visualization tools (Tableau, Power BI)

Other Requirements:

• Familiarity with EarlyAI

Responsibilities:

• Analyzing data from extension (developer code, test analysis, coverage metrics)

• Driving data-driven decisions to enhance product

• Providing actionable insights to development team

Education Requirements:

• Currently pursuing a Master's or PhD in Machine Learning, Computer Science, or a related field, with a solid understanding of machine learning concepts and techniques.

• Graduating by May 2026

Experience Requirements:

• Strong programming skills in Python, with experience in developing and debugging ML models.

• Hands-on experience with machine learning frameworks (e.g., PyTorch, TensorFlow) and familiarity with computer vision tasks.

• A keen interest in applying machine learning to solve real-world problems, particularly in the context of geospatial data analysis.

• Excellent problem-solving abilities and a collaborative mindset, with the capacity to work independently on complex tasks

Responsibilities:

• Develop an initial prototype to detect paint lines and curbs on roadways.

• Bring our perception models and algorithms into a real-time detection domain, trading off accuracy for speed to run on an advanced edge mapping hardware system.

• Assist in the development and tuning of machine learning models to enhance performance and accuracy

Education Requirements:

• Masters or PhD in ML or Computer Vision

Experience Requirements:

• Experience building and training 2D or 3D computer vision deep neural networks.

• A proven track record of leading projects and mentoring junior engineers.

• Proficiency in programming languages relevant to ML and CV, particularly Python and C++ (or equivalent languages), with the ability to write efficient, maintainable code.

• Ability to independently manage and track progress on projects, demonstrating a high degree of self-motivation and accountability

Responsibilities:

• Develop and optimize advanced machine learning and computer vision models.

• Innovate and experiment with novel model architectures, aiming to enhance our 3D geospatial model's accuracy and efficiency.

• Apply your expertise to improve feature detection and localization in 2D imagery and 3D point cloud data.

• Work collaboratively within a team of engineers, contributing to a culture of innovation and knowledge sharing.

• Mentor and guide junior team members, fostering an environment of growth and learning

Education Requirements:

• Ph.D. in Computer Science, Machine Learning, Data Science, or a related field

Experience Requirements:

• 5+ years of experience as a machine learning scientist, with a strong focus on various sensor data modeling and threat prediction

Other Requirements:

• Strong coding skills, including proficiency in Python and at least one machine learning framework (e.g. TensorFlow, PyTorch)

• Experience with data preprocessing, feature engineering, and model selection

• Experience with analyzing and interpreting large and complex datasets, including sensor data

• Ability to work independently and as part of a team

Responsibilities:

• Design and implement machine learning models and algorithms for analyzing various sensor data, including video, radar, and satellite data, and predicting potential threats

• Collaborate with cross-functional teams to understand business needs and develop machine learning solutions

• Analyze and interpret large and complex datasets, including sensor data

• Stay up to date with the latest developments in machine learning, sensor data modeling, and threat prediction

• Contribute to the development of machine learning infrastructure and tools

Education Requirements:

• Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field

Experience Requirements:

• 2+ years of experience as a machine learning engineer, with a strong focus on video surveillance systems and threat prediction

Other Requirements:

• Strong coding skills, including proficiency in Python and at least one machine learning framework (e.g. TensorFlow, PyTorch)

• Experience with data preprocessing, feature engineering, and model selection

• Experience with analyzing and interpreting large and complex datasets, including video data

• Ability to work independently and as part of a team

Responsibilities:

• Design, implement, and maintain machine learning models and algorithms for analyzing video data and predicting potential threats in the context of video surveillance systems

• Collaborate with cross-functional teams to understand business needs and develop machine learning solutions

• Analyze and interpret large and complex datasets, including video data

• Stay up to date with the latest developments in machine learning, video surveillance systems, and threat prediction

• Contribute to the development of machine learning infrastructure and tools

Education Requirements:

• BS/BA in Computing, Math, Business or Economics

• MBA preferred

Experience Requirements:

• Proficient in Excel

• Expert at data processing

• Proficient in statistics

• Familiar with R-language and/or Python proficiency

• Experience within Oracle DB and BigData (Hadoop), SQL

Responsibilities:

• Perform data analysis, mathematical modeling and prototyping of business problems

• Identify data sources and perform data research, extraction and analysis

• Interpret data element learning into business attributes

• Effectively communicate that information to team members and external clients