With over six years of experience in applied machine learning, I worked mainly on pipelining machine learning models for search retrieval/ranking (text/image/multimodal), recommender systems, including computer vision tasks (object detection, segmentation) mainly from ECCV/CVPR/NeurIPS competitions on Kaggle, and financial AI use-cases (scenario generation of stock portfolios, fraud detection at scale such as multi-chain Blockchains transactions > 100M). I am amenable to acquiring proficiency in diverse programming languages/frameworks, and infrastructure (currently learning Rust). My problem-solving aptitude extends beyond coding and product development; I actively seek opportunities to enhance the development process and assist colleagues through mentoring and coaching. If your team requires a machine learning researcher/engineer, data scientist, or research scientist to build production-grade modelling pipeline focussed toward performance optimisation and producing high-quality code and features, I am readily available for a full-time, remote/contract, and long-term roles.
I'm a Machine Learning Engineer with 3+ years of experience in ML and 8+ years of experience in Software Development. Experienced in creating and managing end to end ML pipelines. I'm also a Coursera guided project instructor: https://www.coursera.org/search?query=amit%20yadav%20rhyme&
I've used a variety of languages, frameworks and technologies over the years including the following in last 2-3 years:
Machine Learning/ Data Science - TensorFlow, Keras, PyTorch, OpenCV, Azure Bot Framework, DialogFlow, Rasa, CoreML/ TuriCreate
Cloud/ DevOps/ MLOps - Google AI Platform/ GCP, Amazon Sagemaker/ AWS, Metaflow, Docker, Kubernetes
Web - Flask, Streamlit, HTML, node.js
Databases - SQL, Mongo DB
Languages - Python, JavaScript, Java
With over 7 years of experience as a Machine Learning Engineer, I specialize in machine learning/deep learning and software development. My expertise includes ML Algos., Computer Vision and NLP. I have a background in building both internal and customer-facing software products. Passionate about using AI to enhance lives, I excel in self-management for independent projects and thrive in collaborative team settings. Currently seeking a paid full-time position, open to remote or hybrid arrangements, and willing to relocate with visa sponsorship if required.
With over six years of experience in applied machine learning, I worked mainly on pipelining machine learning models for search retrieval/ranking (text/image/multimodal), recommender systems, including some computer vision tasks (object detection, segmentation) mainly from ECCV/CVPR/NeurIPS competitions on Kaggle, and experience consulting on the quant side dealing with financial AI use-cases (scenario generation of stock portfolios, fraud detection at scale such as multi-chain Blockchains transactions > 100M). I am amenable to acquiring proficiency in diverse programming languages/frameworks, and infrastructure (currently learning Rust). My problem-solving aptitude extends beyond coding and product development; I actively seek opportunities to enhance the development process and assist colleagues through mentoring and coaching. If your team requires a machine learning researcher/engineer, data scientist, or research scientist to build production-grade modelling pipeline focussed toward performance optimisation and producing high-quality code and features, I am readily available for a full-time, remote/contract, and long-term roles.
Resume: Data Scientist with more than a Decade Tech experience. Recently dabbling with Gen AI. Looking more around GTM and Dev Rel roles. Happy to code but more at the intersection of tech and humans.
ML Engineer & Research Scientist. Ex AI grant startup, hedge fund. I've previously worked on inference for LLMs and vision models & have experience with data curation and multinode training. Looking for summer internships or part time positions :)
I've been a Data Scientist for quite a while, With more than decade of Tech experience, recently I make content and MVP on Generative AI. I'm happy to take up any role from Data Science Manager to Dev Advocacy.
I've been a Data Scientist for quite a while, With more than decade of Tech experience, recently I make content and MVP on Generative AI. I'm happy to take up any role from Data Science Manager to Dev Advocacy
Technologies: General ML & Data Science; Python, SciKit Learn, Keras, SQL, MongoDB, Flask; NLP tools like BERT, WordPiece, etc. ; AWS; Enough DevOps to run an ML pipeline
Location: India
Remote: Yes
Willing to relocate: Yes (depends on the location)
Technologies: Python, R, SQL and all the regular Data Science Stuff. I use ML to solve Business problems (not the other way) so company can make more money or save cost.
Email: 1littlecoder@gmail.com
Location: NYC/Nomadic
Remote: I am only looking for remote roles.
Willing to relocate: No
Technologies: pytorch, BERT, general machine learning / nlp, quantization, pruning, weak supervision
Résumé/CV: https://drive.google.com/file/d/1WvpCoqU_3d7nRvzOJLAeULmh9bmIfpoQ/view
Email: jcjessecai@gmail.com
I am a machine learning researcher/engineer with a wide range of experiences. Most recently I worked on architecture optimization techniques for pytorch at Meta. Before that I was the first ML hire at a couple different companies: a series A NLP startup (Cultivate) that was acquired and at a mortgage scale-up (Blend) that eventually IPOd.
I really enjoy flat fast teams with smart and kind people. I have experience leading teams and managing people but would prefer a more technical role. I travel a lot and live a semi-nomadic lifestyle, so it's important to me to work somewhere that handles asynchronous work well. Open to contract / advisor work as well.
Remote: yes
Willing to relocate : yes, depending on the location
Technologies: ML/DL(Pytorch, tensorflow, keras, spacy),Python Node.Js, angular, AWS,Docker,Terraform
Resume:https://docs.google.com/document/d/1VN_CcpHyMDxUPNy-RUSIyCC2...
Hi, I'm looking for an ML role.
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