Data Science Lead - Generative AI Collegedunia

4.0 - 8.0 years

0 Lacs

nagpur, maharashtra

On-site

As a data-science leader, you will be responsible for transforming raw data into actionable insights and developing innovative AI products. Your role will involve managing projects from the initial framing of business questions to the deployment and monitoring of models in the cloud. You will have the opportunity to introduce cutting-edge generative-AI concepts such as chat assistants and retrieval-augmented search. Additionally, you will lead a team of data professionals and collaborate closely with product, engineering, and business stakeholders to deliver measurable results. Your primary responsibilities will include designing and constructing predictive and forecasting models that drive tangible impact, as well as planning and executing A/B experiments to validate ideas and guide product decisions. You will be tasked with developing and maintaining data pipelines to ensure the integrity and timeliness of datasets. Furthermore, you will spearhead generative-AI initiatives, implement modern MLOps practices for model deployment and monitoring in the public cloud, and establish robust monitoring and alerting mechanisms for accuracy, latency, drift, and cost. In addition to your technical duties, you will play a crucial role in mentoring and coaching your team, conducting code reviews, and sharing best practices. You will be required to communicate complex findings in a clear and actionable manner to non-technical audiences. Upholding data governance and privacy standards across all projects will be paramount, in alignment with internal and industry guidelines. Furthermore, you will continuously assess new tools and methodologies, running proof of concepts to ensure that solutions remain cutting-edge. The ideal candidate for this role will possess a strong foundation in statistics, experiment design, and end-to-end machine learning workflows. Proficiency in Python and SQL is essential, along with a proven track record of transitioning models from notebooks to production environments. Hands-on experience with cloud platforms such as AWS, Azure, or GCP, including container-based deployment and CI/CD practices, is highly desirable. Practical exposure to generative-AI projects, including prompt engineering, fine-tuning, and retrieval-augmented pipelines, will be advantageous.,

Posted 4 days ago

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Data Scientist (Generative AI) Lead OnActive

4.0 - 8.0 years

0 Lacs

nagpur, maharashtra

On-site

As a Data Scientist (Generative AI) Lead with 4-6 years of experience based in Nagpur, you will play a crucial role in transforming raw data into valuable insights and cutting-edge AI products. Your responsibilities will encompass the entire project lifecycle, from defining business questions and analyzing datasets to deploying and monitoring models on the cloud. Additionally, you will spearhead generative-AI projects like chat assistants and retrieval-augmented search, manage a team of data professionals, and collaborate closely with product, engineering, and business teams to deliver tangible value. Your main responsibilities will include designing and implementing predictive and forecasting models that drive business impact, conducting A/B experiments to validate ideas and inform product decisions, establishing and maintaining data pipelines to ensure data integrity and timeliness, leading generative-AI initiatives such as LLM-powered chat and RAG search, as well as deploying and monitoring models using contemporary MLOps practices in the public cloud. You will also be in charge of setting up monitoring and alerting systems for accuracy, latency, drift, and cost, mentoring your team, translating complex insights into actionable narratives for non-technical stakeholders, ensuring data governance and privacy compliance, and staying abreast of new tools and methodologies to keep solutions at the cutting edge. To excel in this role, you should have a strong foundation in statistics, experiment design, and end-to-end ML workflows, proficiency in Python and SQL with a track record of transitioning models from notebooks to production, hands-on experience with cloud platforms like AWS, Azure, or GCP including container-based deployment and CI/CD pipelines, and practical exposure to generative-AI projects involving prompt engineering, fine-tuning, and retrieval-augmented pipelines. If you are passionate about leveraging data science to drive innovation, possess strong technical skills, and enjoy collaborating with cross-functional teams to deliver impactful solutions, this role offers an exciting opportunity to lead transformative AI projects and make a significant contribution to the organization's success.,

Posted 1 week ago

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