M.Sc. in Artificial Intelligence new grad, looking for my first professional opportunity to kick-start my new career as a data scientist or machine learning engineer.
I will be graduating with an M.Sc. in Artificial Intelligence in July and am looking for my first professional opportunity to kick-start my new career as a data scientist or machine learning engineer.
I will be graduating with a Master of Artificial Intelligence in July and am looking for my first professional opportunity to kick-start my new career as a data scientist or machine learning engineer.
Newly graduated from a Masters in Artificial Intelligence, looking for my first professional opportunity to kick-start my career as a data scientist or machine learning engineer.
Machine Learning Engineer: I look for full-time positions where I can put my skills in ML, AI, and general computer science, to use in order to contribute with passion while enjoying working with colleagues from many backgrounds and disciplines.
Machine Learning Engineer: I look for full-time positions where I can put my skills in ML, AI, and general computer science, to use in order to contribute with passion while enjoying working with colleagues from many backgrounds and disciplines.
Location: Toronto, Canada
Remote: Onsite / hybrid preferred
Willing to relocate: Yes with a sponsor visa (Canadian citizen)
Technologies: Python (numpy, pandas, scikit-learn, pytorch, pyspark), AWS, Apache Spark
Résumé/CV: https://github.com/dzarezankova/resume
Email: dana.zare@gmail.com
LinkedIn: https://www.linkedin.com/in/danazarezankova/
Hello, I'm a senior year engineering student at the University of Waterloo pursuing in AI. I'm looking for a full time new grad position in ML/AI engineering. I have 2 years of work experience and my work in data processing is being patented by my previous company. I have machine learning and deep learning experience both in academia and work. Looking to relocate to the US, ideally Bay Area, NYC, or Boston. I graduate in April 2024.
Hi there, I'm a software engineer (5y) at heart but currently a [tech lead] data scientist (3y). At the moment I'm responsible for the development and deployment of fraud detection models. I'm interested in any position that is in the direction of ML/Data engineer. Very passionate about language specifically, so anything NLP would have my preference.
I am Searching for PhDs on Machine Learning or job opportunities as Junior Data Scientist (Scala / Research / R) in Europe.
Interested in solving some of the more pressing problems (See 80000hours.org), such as AI Safety, Climate Change or fact checking. This kind of jobs help to save human lifes and do a great social good. Also, I like to contribute to open source projects.
Currently I am looking for job opportunities or PhDs in Europe related to Machine Learning, Distributed Computing, Big Data, Research etc, preferably in Scala, in which I could contribute to solve some of the problems listed above.
Remote: No
Willing to relocate: Yes (Preferably to a big city with great public transportation here in the US or in Europe. I just renewed my passport.)
Technologies: Python, SQL, Git, Linux, Java, C++, Ruby on Rails
I expect to receive my B.A. in Computer Science at the end of the year. I currently have a 3.93 GPA. I am interested in data science, bioinformatics and machine learning among other things. As a soon to be graduate, I don’t have much experience but I love learning and I am definitely a hard worker. I worked full time while pursuing my degree and even took the occasional MOOC class whenever possible. Thank you for your consideration.
Location: Argentina (UTC -03:00)
Remote: Yes
Willing to relocate: No
Technologies: Python (Scikit-learn, Matplotlib, NumPy, Pandas, FastAPI, PyTorch, and PyMC), SQL, Git
Résumé/CV: https://jmloyola.github.io/files/CV/english_short_cv.pdf
Website: https://jmloyola.github.io
Email: See CV or website
Roles: Applied Scientist/Research Scientist/Machine Learning Engineer/Data Scientist
I'm a Computer Science PhD candidate working on machine learning models for early risk classification in text and a teaching assistant professor helping run the Database course.
At present, I'm looking for full-time remote positions as Machine Learning Engineer or Data Scientist with a touch of Software Engineering.
I have been practicing deep learning and machine learning for 5 years now, 3 years professionally. I have worked as ML Engineer in YC-startup (S18). Some of my edge skills are in Computer Vision and deployment of DL models on edge hardware (Nvidia Jetson, Mobile). Recently, I was a founder of a healthtech startup, we went through Entrepreneur First accelerator.
I am open to ML Engineer, Data Scientist & Research Engineer positions, feel free to connect with me on Linkedin or reach out.
Technologies: Machine learning, Python, Tensorflow/Keras/pytorch, spark, Scala, AWS, kafka, HDFS, etc. A whole host of technologies over 20 year career.
email in profile.
I'm an experienced Data scientist, who's worked on a bunch of interesting projects. With Covid I've come to realize I need to work in public more often. So an ideal fit would be a small/medium company with hair on fire problems that need solving.
What sort of problems do I like?
A Taxi company in latam hired me to built a fleet maintenance system. It predicted and scheduled preventative maintenance to reduce wear and tear and avoid breakdowns. We also identified the leading cause of wear - leadfoot drivers. So we built a system that would identify aggressive driving.
Another example was a speculative sports highlights annotation system I built with a consultancy. It ingested sports video and identified predetermined highlights in baseball - diving catches in our case. The ML pipeline was a CNN model which fed into an RNN. Given a bunch of video clips of diving catches as training data, it could later identify those diving catches and automatically annotate the video feeds.
Who shouldn't contact me.
If your market is Ads or gambling I'm not interested. Sure there's lot of money, but I'd rather sleep at night. Thanks.
Also, perl.
Things I'd love to work on:
ML security and safety. Can your DS process be made to give up its internal workings? Can I subvert it to cause unsafe conditions? Almost no one is thinking about these questions, and I'd like the chance to. I'd love to work on LLM safety, but despite the hype about it I suspect it's a bit too early for serious work there.
I'm currently working as a data scientist/ML Engineer for a consulting firm in Canada. My job is focused on developing machine learning proof-of-concepts for small and medium size companies, and then handing that off to the client's team so that they can maintain & develop the product without our help.
Lately, I've been focused on image recognition and NLP problems. I'm a coauthor on several published papers using NLP in an applied setting, which you can see on https://finbarr.ca/dedup.
I'm looking for a ML Engineer role with a small or medium sized company where I can help develop and scale the product. I'm more interested in solving difficult problems than the particular industries, technologies, or techniques used.
I'm a Data Scientist with 5 years experience researching and implementing Machine Learning algorithms (time-series forecasting, reinforcement learning and others) turning theoretical insights into meaningful applications.
I’m looking for a permanent position about anywhere, as a Machine Learning Engineer. I have a MSc in AI, and I've been working for the last year as a Machine Learning Engineer in a fintech startup, not only working in Data Science but also in Data Engineering, Dev Ops, Software Development.
Remote: Prefer to relocate
Willing to relocate: Yes
Technologies: Python, R, MySQL, MongoDB, d3.js, sklearn, TensorFlow
Résumé/CV: http://cole-maclean.github.io/blog/files/Resume-Cole%20MacLe...
mail: maclean.cole@gmail.com
Linkedin: https://www.linkedin.com/in/cole-maclean/
Portfolio: http://cole-maclean.github.io/
M.Sc. in Artificial Intelligence new grad, looking for my first professional opportunity to kick-start my new career as a data scientist or machine learning engineer.
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