Key Responsibilities: 

<ul>
<li style="margin-left:0px;">Lead the design, development, and scaling of large, high-quality datasets to advance generative AI models in multimodal domains (e.g., text, vision, speech). </li>
</ul>

<ul>
<li style="margin-left:0px;">Define data standards and best practices for acquisition, cleaning, augmentation, annotation, and evaluation to ensure fairness, diversity, and representativeness. </li>
</ul>

<ul>
<li style="margin-left:0px;">Guide the integration of cutting-edge techniques (e.g., fine-tuning, RLHF, domain adaptation) into data generation and model alignment pipelines.</li>
</ul>

<ul>
<li style="margin-left:0px;">Provide technical leadership in building scalable, reliable data pipelines and synthetic data platforms for production environments. </li>
</ul>

<ul>
<li style="margin-left:0px;">Evaluate and operationalize research innovations, shaping how data preparation and generative AI methods transition into production-ready solutions.</li>
</ul>

<ul>
<li style="margin-left:0px;">Partner with research, engineering, and product leaders to define long-term data strategy and accelerate the adoption of generative AI solutions at scale.</li>
</ul>

<ul>
<li style="margin-left:0px;">Mentor and provide thought leadership to scientists and engineers, fostering a culture of data excellence and innovation</li>
</ul>

Qualifications and Skills:


<ul>
<li style="margin-left:0px;">Bachelors or Master’s in Computer Science, Data Science, AI/ML, or related field with 6+ years of industry experience. </li>
</ul>

<ul>
<li style="margin-left:0px;">Proficiency in Python and solid foundation in applied ML methods. </li>
</ul>

<ul>
<li style="margin-left:0px;">Proficiency with Pytorch, Torchvision, OpenCV, and similar, as well as building and deploying DNN models in production.</li>
</ul>

<ul>
<li style="margin-left:0px;">Experience building large-scale data pipelines for acquisition, cleaning, augmentation, and validation. </li>
<li style="margin-left:0px;">Ability to evaluate datasets for distribution, diversity, anomalies and fairness to assess overall quality and suitability for generative AI.</li>
</ul>

<ul>
<li style="margin-left:0px;">Experience with Computer Vision, NLP, Transformers, Large Language Models, Generative AI, optimizations around LLM training and serving. Experience with Multimodal models a bonus. </li>
</ul>

<ul>
<li style="margin-left:0px;">Familiarity with advanced techniques (e.g., RLHF, domain adaptation, data augmentation) and their application in generative AI workflows. </li>
</ul>

<ul>
<li style="margin-left:0px;">Proven track record of delivering scalable, data-centric ML solutions.</li>
</ul>

<ul>
<li style="margin-left:0px;">Excellent communication and leadership skills, with experience mentoring junior scientists/engineers and presenting technical strategies to senior stakeholders. </li>
</ul>

Data Scientist in Gurugram (UID-13500)

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