FiveRivers Technologies Jobs Data Scientist

FiveRivers Technologies Jobs Data Scientist:

Organization:FiveRivers Technologies

Vacancy Announcement ????????

FiveRivers Technologies is looking for aData Scientistwith more than 2 years of experience who will be mainly responsible for working on a project related to Machine Learning, Natural Language Processing, and Computer Vision.

Responsibilities:

Collaborate on project planning and execute data science and machine learning projects.

Conduct data wrangling and exploratory analysis using Pandas, SQL, Polars, Excel, and PySpark tools.

Develop machine learning and deep learning models with libraries such as SciKit-Learn, TensorFlow, Keras, PyTorch, and Huggingface-transformers.

Implement NLP techniques and work with language models like SpaCy, NLTK, and Huggingface-transformers.

Apply LLM knowledge for applications, including prompt engineering and retrieval augmented generation.

Utilize computer vision techniques with OpenCV, SkImage, and DL libraries for tasks like image classification, object detection, OCR, and image segmentation.

Apply time series analysis and forecasting using libraries like Sktime, Prophet, pmdarima, and statsmodels.

Conduct in-depth data analysis and visualization using Matplotlib, Seaborn, Plotly, and Tableau.

Apply data engineering fundamentals, contribute to data modeling efforts, and work with databases like PostgreSQL and MongoDB.

Stay updated on the latest developments in data science, machine learning, and AI

Propose innovative solutions and document code, methodologies, and findings.

Effectively communicate complex technical concepts to non-technical stakeholders.

Collaborate with team members, share knowledge, and contribute to a collaborative and learning-oriented environment.

Requirements:

2-4 years of experience in Data Science, Machine Learning, and Artificial Intelligence

BS, or preferably, MS degree in CS, SE, IT, EE, DS, AI, or a related field

Strong Python programming, problem-solving, and algorithm design skills

Broad knowledge and experience in various areas of Data Science and AI

Expertise in Machine Learning and Deep Learning theory and implementation (SciKit-Learn, TensorFlow, Keras, PyTorch, Huggingface-transformers)

Proficiency in Data Wrangling using Pandas, SQL, Polars, Excel, and PySpark

Strong skills in Data Analysis & Statistics, and Data Visualization (Matplotlib, Seaborn, Plotly, Tableau)

Knowledge of Natural Language Processing theory and implementation (SpaCy, NLTK, Huggingface-transformers)

Experience with Large Language Models (LLMs), Prompt Engineering, Retrieval Augmented Generation, LLM Fine-Tuning

Expertise in Computer Vision theory and implementation (OpenCV, SkImage, DL libraries)

Knowledge of Time Series Analysis & Forecasting (Sktime, Prophet, pmdarima, statsmodels)

Familiarity with Data Engineering fundamentals, Data Modeling, and databases (PostgreSQL, MongoDB)

Experience with Cloud data storage and data warehouses (S3, Redshift, BigQuery)

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