Responsibilities:

<ul>
<li style="text-align:start;">Design and implement Gen AI applications using LLMs (e.g., GPT, Claude, Llama) and multimodal models. </li>
</ul>

<ul>
<li>Develop prompt engineering strategies, fine-tune models, and optimize outputs for accuracy and relevance. </li>
</ul>

<ul>
<li>Build and deploy AI pipelines for text, image, audio, and video generation.</li>
</ul>

<ul>
<li>Integrate AI models into existing systems using APIs (OpenAI, Anthropic, Hugging Face, etc.). </li>
</ul>

<ul>
<li>Conduct experiments, perform model evaluation, and improve performance using RLHF, embeddings, and retrieval-augmented generation (RAG). </li>
</ul>

<ul>
<li>Stay updated on emerging trends in AI research, model architectures, and generative technologies. </li>
</ul>

<ul>
<li>Ensure compliance with ethical AI practices, data privacy, and model governance policies.</li>
</ul>

Mandatory skill sets:

<ul>
<li style="text-align:start;">Strong hands-on experience with Python, PyTorch, TensorFlow, or Transformers (Hugging Face). </li>
</ul>

<ul>
<li>Familiarity with LLM APIs, vector databases (e.g., FAISS, Pinecone), and RAG frameworks (e.g., LangChain, LlamaIndex).</li>
</ul>

Preferred skill sets:

<ul>
<li style="text-align:start;">Experience building chatbots, copilots, or AI assistants. </li>
</ul>

<ul>
<li>Contributions to open-source AI projects or published research in AI/ML.</li>
</ul>

Years of experience required:

<ul>
<li style="text-align:start;">4-8</li>
</ul>

Education Details 

<ul>
<li>B.Tech / M.Tech / MBA / MCA </li>
</ul>

Data Science

Responsibilities: Design and implement Gen AI applications using LLMs (e.g., GPT, Claude, Llama) and multimodal models. Develop prompt engineering strategies, fine-tune models, and optimize outputs for accuracy and relevance. Build and deploy AI pipelines for text, image, audio, and video generation. Integrate AI models into existing systems using APIs (OpenAI, Anthropic, Hugging Face, etc.). Conduct experiments, perform model evaluation, and improve performance using RLHF, embeddings, and retrieval-augmented generation (RAG). Stay updated on emerging trends in AI research, model architectures, and generative technologies. Ensure compliance with ethical AI practices, data privacy, and model governance policies. Mandatory skill sets: Strong hands-on experience with Python, PyTorch, TensorFlow, or Transformers (Hugging Face). Familiarity with LLM APIs, vector databases (e.g., FAISS, Pinecone), and RAG frameworks (e.g., LangChain, LlamaIndex). Preferred skill sets: Experience building chatbots, copilots, or AI assistants. Contributions to open-source AI projects or published research in AI/ML. Years of experience required: 4-8 Education Details B.Tech / M.Tech / MBA / MCA

Data Science in Kolkata (UID-15984)

Job Description

Job Details

Skills Required for Data Science

Job Description for Data Science

Explore More Opportunities