Deeptech Jobs is on a mission to revolutionize the recruitment process within the deep technology sectors. We're building a platform that not only connects top-tier talent with groundbreaking companies but also fosters a thriving community around innovation in tech. We’re looking for a Machine Learning Engineer who is passionate about using their skills to make impactful tools accessible to technology professionals and companies alike.
What you'll do:
- Develop and refine machine learning algorithms to enhance job matching accuracy and user engagement.
- Collaborate with a cross-functional team to integrate AI features into our platform.
- Experiment with predictive models and deep learning to understand user behaviors and industry trends.
Ideal candidate:
- Proficiency in Python and experience with ML frameworks (TensorFlow, PyTorch).
- Strong background in mathematics and statistics.
- Experience in deploying machine learning models at scale.
- Passionate about AI’s potential in reshaping how we connect jobs and talent.
Why join us?
- Remote-first culture with flexible working hours.
- Competitive salary and equity options.
- Opportunity to be at the forefront of tech recruitment, impacting numerous industries and professionals.
Interested? Reach out to apply@deeptech.jobs.
WebAI is building the future of Human-AI interaction and we’re a community committed to building the future of decentralized artificial intelligence. We believe that democratizing AI is key to unlocking its full potential and creating a better world for all. Our new product Navigator enables users to create custom AI models to meet their needs, while our WebAI Intelligence Network is critical infrastructure required for a decentralized AI future.
Senior and Staff roles available.
Desirable experience for our various roles:
- Full-stack Python, Go or Rust - iOS (Swift) - P2P, encryption, or cryptography - Managing multi-cloud and/or on-prem infrastructure - Distributed training - Custom DNN architectures (pytorch/tensorflow/mxnet/burn) - Optimization via quantization/compression techniques Apply here: https://boards.greenhouse.io/webai (company name change in progress from Iris to WebAI)Qventus provides a real-time decision-making platform for hospital operations. Our mission is to simplify how healthcare operates so that hospitals can focus on delivering the best possible care to patients. We use artificial intelligence and machine learning to create products and solutions that help nurses, doctors, and hospital staff anticipate issues and make operational decisions proactively. We work with leading public, academic, and community hospitals across the United States.
We are actively hiring for the following positions:
*Remote US:
Innovation Engineer (Generative AI) - Software engineering generalist with experience building products powered by AI models
Sr. Data Platform Engineer - 5+ yrs working with Python, SQL, AWS, Snowflake, Databricks, DBT
Data Engineer II - 3+ yrs working with Python, SQL, AWS, Snowflake, Databricks, DBT
Senior Data Scientist - 5+ yrs working with Sagemaker, Tensorflow, NLP, explainable ML
*INDIA:
Analytics Engineer - Data Modeling and transformation, SQL, Looker, Electronic Health Records
Data Engineer - Python, SQL, AWS, Snowflake, DBT
UI/UX Designer - 4+ yrs UI/UX design, Figma, Zeplin, Photoshop
Useful experience: Previous Healthcare/ Health tech experience
To see a full list of openings and to apply, follow our Join Us page: https://jobs.ashbyhq.com/qventus?utm_source=DQpNjMYvxb
We are a Machine Learning consulting company that builds end-to-end Machine Learning solutions. By applying the latest AI research, we keep our clients at the forefront of innovation.
If you are interested check out: https://www.ml6.eu/resources/resource-library and https://www.ml6.eu/client-cases
Work on innovative projects for the biggest clients across Europe such as Randstad, ASML, FUNKE, and many more! Whether it’s about leveraging LLMs to improve customer support, building data lakes on cloud platforms to improve storage or implementing models using sensor data for quality control. You can find it all at ML6.
You will mostly work with Python and a range of ML frameworks such as TensorFlow, PyTorch, or HuggingFace Transformers to solve hard Machine Learning tasks and help bring these application into production by building data pipelines and cloud infrastructure on all of the major cloud providers (GCP, AWS, Azure).
We are looking for:
• (Senior) Data Engineer
• (Senior) Software Engineer
• (Senior) Machine Learning Engineer
• Alliance Manager – Azure
• AI Team Lead
• AI Client Executive
• AI Client Partner
• AI Project Manager
• Talent Partner
Apply at: https://ml6.eu/join-us