Location: London, United Kingdom
Remote: Yes
Willing to relocate: Yes
Technologies:
* Python, Scala, C/C++, Bash, FastAPI, Flask, GraphQL, MySQL/PostgreSQL, Neo4j/TigerGraph
* Tensorflow/PyTorch/Keras, Spacy, OpenCV, NLTK, Langchain, Llamaindex, Triton, Elasticsearch
* Kubeflow/Mlflow, Ray, Optuna, Kafka, Spark, PyFlink, ELK/EFK, Grafana
* AWS/GCP/Azure, Terraform/Ansible, Docker, Kubernetes/Openshift
GitHub: https://github.com/amitkumarj441>
Résumé/CV: https://www.dropbox.com/scl/fi/r9enmxznfibhtvapiw44b/AmitnKJ...>
LinkedIn: https://www.linkedin.com/in/amitkumarjaiswal1>
Kaggle: https://kaggle.com/amitkumarjaiswal>
Email: amitkumarj441@gmail.com
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I'm on the job market and open to roles in industry! 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.