AI Jobs

Education Requirements:

• PhD in Chemical Biology, Proteomics, or related field

Experience Requirements:

• 5+ years in industry experience focused on small molecule drug discovery at pharmaceutical or biotech companies, with a track record in leading small molecule proteomic initiatives

Other Requirements:

• Proven experience in proteomics research and small molecule drug discovery

• Track record in designing and executing complex scientific experiments

• Computational affinity, worked with computational biologists

• Experience in managing a team of PhD researchers

• Familiarity with AI applications in proteomics and drug discovery

• Strong budget management skills

• Excellent communication skills, adept at summarizing scientific progress for various audiences

Responsibilities:

• Drive the scientific strategy, aligning our proteomics research with AI-driven drug discovery initiatives

• Lead and nurture a team of PhD researchers, promoting a culture of innovation and discovery

• Oversee lab operations and facilities, maintaining an environment that fosters excellence and safety

• Plan and steer ambitious proteomics experiments, making key decisions to shape our scientific trajectory

• Prudently invest in state-of-the-art lab hardware to keep us on the cutting edge of proteomics research Bridge the gap between lab teams and computational workstreams, fostering a synergistic environment that maximizes data utility Manage and optimize the lab budget, ensuring resources are strategically allocated Provide regular updates on scientific progress, keeping stakeholders informed and inspired

Education Requirements:

• MSc or PhD degree in computational biology, bioinformatics or a related field

Experience Requirements:

• Possess mixed academic and/or industrial experience, preferably in the biotech industry

Other Requirements:

• Strong background in computational structural or systems biology

• Strong programming skills in Python, R and/or other languages

• Experience building reproducible and scalable computational biology workflows

• Experience designing and applying machine learning models

Responsibilities:

• Develop pilot capabilities and create large-scale data pipelines from the ground up

• Collaborate with other teams across VantAI and partnering organizations to achieve project goals by contributing code, analyses, benchmarks, optimizations and ideas to ongoing research-driven projects

• Integrate biological insights into the next generation of AI/ML models for drug discovery

• Validate and interpret computational predictions by working closely with experimentalists

Education Requirements:

• MSc/PhD degree in Chemistry, Computational Chemistry, Biochemistry, Chemical Engineering, or another related subject

Experience Requirements:

• Minimum 2 years (PhD) or 4 years (MSc) of post-graduate experience in small-molecule drug discovery

Other Requirements:

• Proven track-record in advancing drug discovery projects using in-silico methods; strong background in rational drug design

• Ability to adapt well to a fast-paced environment and get things done by combining creativity, problem-solving skills, and a can-do attitude to overcome obstacles

• Extensive experience in large-scale virtual screening using structure and ligand-based methods for hit identification and optimization

• Strong programming skills with at least 2 years of experience using Python for data analysis

• Excellent written and verbal communication skills along with a strong desire to work in cross-functional teams

Responsibilities:

• Lead small-molecule drug discovery projects using internal and external Machine Learning and CADD tools

• Drive drug discovery programs forward by quickly developing scalable tools to address specific project needs

• Work independently and in collaboration with Medicinal Chemists to prioritize small-molecule designs, clearly communicating the decisions to interdisciplinary audiences

• Collaborate with experts from other fields (e.g., Medicinal Chemistry, Machine Learning, Computational and Structural Biology, etc.) to advance integrated in-silico discovery platforms

• Design and execute large-scale virtual screening campaigns using both ligand and structure-based approaches

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

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:

• Ongoing/completed Ph.D. or Master’s degree in Computer Science or a related field

• Proficiency in Python and PyTorch

• Solid understanding of neural networks and machine learning fundamentals

• Experience with a vision-based deep learning project

Other Requirements:

• Strong enthusiasm for continuous learning

Responsibilities:

• Improve existing and implement new perception features

• Stay abreast of the latest research

• Communicate progress, challenges, and achievements to the team

• Contribute to the advancement of the field

Benefits:

• A chance to be a part of a rapidly growing startup with a transformative technology

• Competitive salary with performance-based bonuses

• Opportunities for personal and professional growth

• Flexible working conditions with the ability to work remotely

Education Requirements:

• Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field

Experience Requirements:

• Profound understanding of deep learning and natural language processing principles.

• Hands-on experience with large language models and their applications

• Strong programming skills in Python, including experience with ML/NLP libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers)

Other Requirements:

• Excellent problem-solving abilities and a passion for innovation

• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders

Responsibilities:

• Fine-tune Open-source LLMs

• Build RAG Systems

• Develop Conversational Applications

• Research and Innovation

• Collaboration

Education Requirements:

• MS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field

Other Requirements:

• Skilled in audio and image processing and machine learning applications

• Working experience with Deep Learning using Tensor Flow, Cafe and other AI software

• Hands on Python and Matlab experience

• Technically oriented, proactive, and enthusiastic, with extreme attention to detail

Responsibilities:

• Develop solutions for real-world using AI/ML

• Minimize parameters and design the best network for audio and imaging applications

• Develop models for Audio and Imaging applications

Benefits:

• Competitive salary and equity

• Medical, dental, vision benefits

• Learning budget per year

• Unlimited PTO policy with minimum time off requirements

• Flexible working hours on many teams

Education Requirements:

• PhD

• Master's degree and 3+ years of experience

Experience Requirements:

• Significant hands-on experience in AI/ML, specifically with large datasets

• Strong coding skills with experience in cloud computing

• Good communication skills

Other Requirements:

• Domain expertise in climate is a plus

• Strong communication skills

Responsibilities:

• Building applications of GenAI approaches to solve forecasting and interpretation challenges in climate science

• Improving food and climate security outcomes

• Working cross-functionally with climate scientists, ML engineers, software engineers, and business teams