Role overview
- Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation-systems, environmental systems and/or agronomic problems.
- Strong foundation in Python programming in a cloud environment.
- Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
- Expertise in data wrangling using SQL,
- Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
- Fluency in querying/extracting/aggregating data via SQL scripting.
- Extract, load and transform data (ETL) from structured and unstructured sources
- Apply Natural Language Processing and Computer Vision to solve business use cases,
- Strong skills in scientific data analyses, modeling, visualization and communication of results.
- Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
What we're looking for
- Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
- Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
- Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
- Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
- Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
- Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
- Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
- Distributed computing tools and **cloud technology (AWS)
Benefits**
- Competitive Salary
- Paid Relocation
- Remote Support
- Guaranteed Regular Salary Reviews
- Job Type: W2 or Contract 1099 (full-time - 40 hours).
we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.
*Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough
Tags & focus areas
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