Lead Data Scientist

Looking for immediate to 15 days joiners and candidates should be currently located in Bangalore or Chennai.

Total Experience : 7+ years

Interview Mode : Virtual plus Face to Face

Team Management experience in must.

We are looking for a skilled and experienced Lead Data Scientist with a strong background in building AI-driven applications and solutions. In this role, you will play a critical role in advancing generative AI capabilities, creating solutions that streamline processes, and optimizing data insights across the organization. The ideal candidate will be highly analytical, with a deep understanding of machine learning algorithms, advanced data processing techniques, and hands-on experience with Azure Open AI services.

Role & responsibilities

• AI Solution Development: Lead the development and enhancement of AI tools, including generative AI models, natural language processing (NLP) applications, and predictive analytics.
• Machine Learning & Deep Learning: Utilize supervised and unsupervised learning methods to address complex data science challenges. Apply advanced techniques, such as deep learning and neural networks, to optimize model performance.
• Data Engineering & Processing: Implement and improve data collection methods to ensure robust data pipelines. Focus on building systems that can efficiently process high volumes of data.
• Data Visualization: Design impactful visualizations using tools such as Power BI, making data insights accessible and actionable for stakeholders.
• Azure Open AI Expertise: Leverage Azures suite of AI tools, including LLMs and Custom Vision, for scalable, cloud-based deployment of AI solutions.
• Indexing & Document Optimization: Develop optimized indexing methods and document management strategies for high-volume data handling, especially within Azure Blob storage.
• Prompt Engineering: Apply prompt engineering techniques to improve the efficiency and accuracy of AI models, focusing on maximizing the effectiveness of LLM-based systems.
• Cross-functional Collaboration: Work with various teams to identify business challenges, translate them into data science projects, and implement data-driven solutions.
• Mentorship: Mentor junior data scientists, fostering an environment of growth and continuous learning.

Preferred candidate profile

Educational Background: Bachelors or Masters degree in computer science, Data Science, Engineering, or a related field.

• Experience: At least 9+ years of relevant experience in data science, with a focus on AI model deployment and application development in a cloud environment, specifically Azure Open AI with at least 2 of those years in a supervisory or leadership capacity.

• Technical Skills:
• Proficient in Python and SQL for data manipulation, model building, and analysis. o Extensive experience with large language models (LLMs) and RAG architecture.
• Advanced skills in machine learning algorithms, deep learning, and NLP.
• Familiarity with Azure Blob storage and optimization techniques for high-volume document processing.
• Strong data visualization abilities, with proficiency in tools such as Power BI, Tableau, or similar.

• Problem-Solving Skills: Strong analytical and debugging skills to identify, analyze, and solve complex data challenges. • Communication Skills: Ability to communicate complex technical concepts to non technical stakeholders effectively.

If interested, Kindly revert with your updated resume at kritika_gupta@persolapac.com.

Thanks & Regards

Kritika Gupta

Lead Consultant

Persolkelly

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