Responsibilities: 

Position responsibilities and expectations 

<ul>
<li style="margin-left:0px;">Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. </li>
</ul>

<ul>
<li style="margin-left:0px;">Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown </li>
</ul>

<ul>
<li style="margin-left:0px;">Ability to learn new scripting language or analytics platform. </li>
</ul>

Technical Skills required (must have) 

<ul>
<li style="margin-left:0px;">HandsOn Exposure to Generative AI (Design, development of GenAI application in production) </li>
</ul>

<ul>
<li style="margin-left:0px;">Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. </li>
</ul>

<ul>
<li style="margin-left:0px;">Strong understanding of deploying and optimizing AI application in production. </li>
</ul>

<ul>
<li style="margin-left:0px;">Strong knowledge of statistical and data mining techniques like Linear &amp; Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. </li>
</ul>

<ul>
<li style="margin-left:0px;">Strong knowledge of DL &amp; Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) </li>
</ul>

<ul>
<li style="margin-left:0px;">Strong knowledge of SQL and R/Python and experience with distributing data/computing tools/IDEs. </li>
</ul>

<ul>
<li style="margin-left:0px;">Experience in advanced Text Analytics (NLP, NLU, NLG). </li>
</ul>

<ul>
<li style="margin-left:0px;">Understanding of LLM Ops, ML Ops for scalable ML development. </li>
</ul>

<ul>
<li style="margin-left:0px;">Working knowledge on agents like PyTorch, TensorFlow </li>
</ul>

<ul>
<li style="margin-left:0px;">Proven capability in using Generative AI services like OpenAI, Google (Gemini) </li>
</ul>

<ul>
<li style="margin-left:0px;">Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) </li>
</ul>

<ul>
<li style="margin-left:0px;">Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. </li>
</ul>

Mandatory skill sets: 

<ul>
<li style="margin-left:0px;">AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, PyTorch, TensorFlow </li>
</ul>

Preferred skill sets: 

<ul>
<li style="margin-left:0px;">AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, PyTorch, TensorFlow </li>
</ul>

Years of experience required: 

<ul>
<li style="margin-left:0px;">4-10 Years </li>
</ul>

Education qualification: 

<ul>
<li style="margin-left:0px;">BE, B. Tech, M. Tech </li>
</ul>

Data Scientist

India

Responsibilities: Position responsibilities and expectations Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown Ability to learn new scripting language or analytics platform. Technical Skills required (must have) HandsOn Exposure to Generative AI (Design, development of GenAI application in production) Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. Strong understanding of deploying and optimizing AI application in production. Strong knowledge of statistical and data mining techniques like Linear &amp; Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. Strong knowledge of DL &amp; Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) Strong knowledge of SQL and R/Python and experience with distributing data/computing tools/IDEs. Experience in advanced Text Analytics (NLP, NLU, NLG). Understanding of LLM Ops, ML Ops for scalable ML development. Working knowledge on agents like PyTorch, TensorFlow Proven capability in using Generative AI services like OpenAI, Google (Gemini) Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. Mandatory skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, PyTorch, TensorFlow Preferred skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, PyTorch, TensorFlow Years of experience required: 4-10 Years Education qualification: BE, B. Tech, M. Tech

Data Scientist · Kolkata

Job highlights

Skillset required

Job Description

Job Description for Data Scientist

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