Data Scientist Senior Engineer

September 26, 2024
$2000000 - $3000000 / Year
Application deadline closed.

Job Description

One of our clients Agivant Technologies is expanding their team and shared the below job description with us. If the job description matches your profile and experience, then apply now at CareerHub Consultancy.

The Data Scientist- Conversational AI will be responsible for:

Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models/Generative AI.
Good knowledge of advanced statistical methods.
Interact with our research team and with key partners in the market to build end-to-end AI/ML/NLP solutions: Conversational AI, document understanding·
Managing and improving our data collection/generation pipeline and existing datasets
Build and improve reusable tools & modelling pipelines and support knowledge sharing across several teams.
Define and deploy best practices in Machine Learning & MLOps, mentor and teach colleagues.
Translate analytic insights into concrete, actionable recommendations for business or product improvement.
Proactively develop new metrics and studies to quantify the value of different aspects of product.
Actively interacting with a highly motivated full-stack team in a stimulating, collaborative environment.

Requirements

5 to 8 years of experience as Data Scientist.
Good and experience of machine learning algorithms and ability to apply them in supervised and un-supervised NLP tasks.
Text Mining, Classification Methods – SVM, NN, etc, Vector Space model for Unstructured Text, Sentiment Analysis, Association Mining, Semantic Analysis·
Good knowledge of advanced statistical methods.
Experience working with Text Data using transformer-based model· Knowledge of NLP algorithms that can handle various NLP tasks such as intent recognition, entity extraction, language modelling, text classification, question answering, text summarization, topic modelling and so on.
Expertise with one of the following scripting languages: Python, R, Tensorflow, Keras, Pytorch, OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Large Language Models
Experience building and fine-tuning Language Models to solve bespoke NLP tasks. willing to work with open-Source Tools·
Should have independently handled a project technically and provided directions to the other Team Members.
Experience in turning ideas into actionable designs. Able to persuade stakeholders and champion effective techniques through development.
Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company.
Good to have foundational knowledge on Cloud, API frameworks like Flask, Fast API·
Comfortable working in a fast-paced and agile startup environment
Strong communication and presentation skills
Pro-active thinking and strong initiative
Ability to collaborate effectively with team members and stakeholders.
Strong communication and interpersonal skills in English

Apply link
https://shorturl.at/vAHnA

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