Data Scientist

ERM Placement Services

4 - 7 years

0 - 3 Lacs

kolkata

Posted:Just now| Platform:

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Skills Required

python artificial intelligence cloud platform machine learning

Work Mode

Work from Office

Job Type

Full Time

Job Description

Experience productionizing machine learning methodologies such as regression, classification, clustering, matrix factorization, predictive analytics, decision trees, support vector machines, neural networks / Deep Learning, video and image analytics
Strong understanding of linear algebra, optimization, probability, statistics, computer architecture, OS, Networking
Strong hands-on experience in building end-to-end AI and Machine learning models - Natural Language Processing (NLP), Natural Language Generation (NLG), Deep Learning (Voice recognition).
Hands-on experience in exploratory data analyses, data-cleansing, data-wrangling and pre-processing
Strong hands-on experience in Python and other statistical tools (including data visualization techniques) on standalone or cloud applications
Experience with Machine Learning Algorithms, frameworks like Caffe, Tensor Flow, H2O and Convolution Neural Network Architectures (SSD, YOLO) performing real-time Object detection and classification is a must.
Sound understanding of GenAI concepts like LLM, Langchain, RAG Framework, tokens, vector databases etc.
Working knowledge of using any LLM platforms like OpenAI, Bedrock etc. and models like GPT, Llama, Claude, Mistral etc.
Proven experience in developing and deploying generative AI models.
Development experience using Python Web Framework (Flask, Django), Python Data Science framework (scikit-learn, SparkML), API Management framework
Development experience in building Cloud based solutions using AWS/Azure/GCP
Ability to learn new scripting language or analytics platform
Exposure to data visualization tools such as PowerBI, Tableau, etc.
ML Ops, ML Deployment experience (optional)
Exposure to application development tools such as R Shiny (optional)
Full Stack Data Scientist will be preferred
Conduct thorough testing and validation to ensure model reliability and robustness.
Passion and ability to do quick POCs on various GenAI technologies and evaluate their effectiveness in the context of the project.
Stay up-to-date with the latest advancements in generative AI and deep learning.
Strong data representation and lucid presentation (of analysis/modelling output) using Power Point, Excel, Streamlit etc.

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