Responsibilities 

<ul>
<li>Relevant years of professional experience with different regression and classification methods in implementation and deployment of project on AWS GCP and Azure cloud platform. Follow the standard practice and guidelines while using Python, SQL. </li>
</ul>

<ul>
<li>Hands on experience with Langchain framework for GenAI. </li>
</ul>

<ul>
<li>experience with Dataiku on model building and deployment.</li>
</ul>

<ul>
<li>Must have intermediate understanding on Word and Excel. The candidate must have strong consultative / listening skills, ability to analyze data, and translate business requirements into actionable capabilities.</li>
</ul>

<ul>
<li>Able to design Machine learning, Deep learning and Generative AI architecture and its successful execution in the project.</li>
</ul>

<ul>
<li>Design, develop and implement generative AI models such as GANs, Variational Auto Encoders or transformers for specific application.</li>
</ul>

<ul>
<li>Must Demonstrate understanding of evaluation metrics specific to GenAI task such as inception score, frechet inception distance, perpetual path length.</li>
</ul>

<ul>
<li>Collaborating with cross-functional teams, including data scientist, engineers, domain experts to integrate Generative AI into product or services.</li>
</ul>

<ul>
<li>Develop and fine-tuning Generative AI models such as GPT for various applications.</li>
</ul>

<ul>
<li>Using Generative AI to work on tasks like text generation, sentiment analysis, chatbots and language translation using RAG and agent-based models.</li>
</ul>

<ul>
<li>Experience in using tokenization and embeddings and must have used GPT, LLaMA, Huggingface, Mistral, AWS BedRock for deploying the models.</li>
</ul>

<ul>
<li>Analyze data and Generating insights using generative AI techniques for predictive modelling and data generation.</li>
</ul>

<ul>
<li>Ability to successfully create quick project based on GenAI by asking questions using different scalable database for generating charts or statement using different large language models.</li>
</ul>

<ul>
<li>Evaluating the performance of generative AI models and implementing improvements based on feedback.</li>
</ul>

<ul>
<li>Ensuring ethical and responsible use of AI by addressing bias, privacy concerns and fairness in AI models</li>
</ul>

<ul>
<li>Proficiency in programming language like Python, SQL, frameworks such as Langchain for AI model development.</li>
</ul>

<ul>
<li>Experience on Rest API, Flask API, Fast API.</li>
</ul>

Qualifications we seek in you! 

Minimum Qualifications 

<ul>
<li>BE/B- Tech, BCA, MCA, BSc/MSc – Stats , MBA</li>
</ul>
 
<ul>
<li>GenAI, NLP certifications is a plus. </li>
</ul>

Preferred Qualifications/ Skills 

<ul>
<li>Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations </li>
</ul>

<ul>
<li>Flexibility to adapt to a variety of engagement types, working hours and work environments and locations</li>
</ul>

<ul>
<li>Excellent written, oral communication and presentation skills </li>
</ul>

<ul>
<li>Bring a data-driven approach to decision making</li>
</ul>

<ul>
<li>intellectually curious, always eager to learn new skills and share the knowledge with others</li>
</ul>

<ul>
<li>Proactive planner and can work independently to manage own responsibilities</li>
</ul>

<ul>
<li>Experience in handling large datasets and building scalable pipelines. </li>
</ul>

<ul>
<li>Strong communication skills and ability to engage with healthcare finance business stakeholders.</li>
<li></li>
<li> </li>
<li>Hands on experience with Pharma data sets like IQVIA – APLD, DDD, Xponent, EMR, CRM</li>
</ul>

Data Scientist

India

Responsibilities Relevant years of professional experience with different regression and classification methods in implementation and deployment of project on AWS GCP and Azure cloud platform. Follow the standard practice and guidelines while using Python, SQL. Hands on experience with Langchain framework for GenAI. experience with Dataiku on model building and deployment. Must have intermediate understanding on Word and Excel. The candidate must have strong consultative / listening skills, ability to analyze data, and translate business requirements into actionable capabilities. Able to design Machine learning, Deep learning and Generative AI architecture and its successful execution in the project. Design, develop and implement generative AI models such as GANs, Variational Auto Encoders or transformers for specific application. Must Demonstrate understanding of evaluation metrics specific to GenAI task such as inception score, frechet inception distance, perpetual path length. Collaborating with cross-functional teams, including data scientist, engineers, domain experts to integrate Generative AI into product or services. Develop and fine-tuning Generative AI models such as GPT for various applications. Using Generative AI to work on tasks like text generation, sentiment analysis, chatbots and language translation using RAG and agent-based models. Experience in using tokenization and embeddings and must have used GPT, LLaMA, Huggingface, Mistral, AWS BedRock for deploying the models. Analyze data and Generating insights using generative AI techniques for predictive modelling and data generation. Ability to successfully create quick project based on GenAI by asking questions using different scalable database for generating charts or statement using different large language models. Evaluating the performance of generative AI models and implementing improvements based on feedback. Ensuring ethical and responsible use of AI by addressing bias, privacy concerns and fairness in AI models Proficiency in programming language like Python, SQL, frameworks such as Langchain for AI model development. Experience on Rest API, Flask API, Fast API. Qualifications we seek in you! Minimum Qualifications BE/B- Tech, BCA, MCA, BSc/MSc – Stats , MBA GenAI, NLP certifications is a plus. Preferred Qualifications/ Skills Personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations Flexibility to adapt to a variety of engagement types, working hours and work environments and locations Excellent written, oral communication and presentation skills Bring a data-driven approach to decision making intellectually curious, always eager to learn new skills and share the knowledge with others Proactive planner and can work independently to manage own responsibilities Experience in handling large datasets and building scalable pipelines. Strong communication skills and ability to engage with healthcare finance business stakeholders. Hands on experience with Pharma data sets like IQVIA – APLD, DDD, Xponent, EMR, CRM

Data Scientist · New Delhi

Job highlights

Skillset required

Job Description

Job Description for Data Scientist

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