We have an opening for a Lead Data Scientist (AI/ML)

Looking for a candidate who can join immediately

Work Location- 3 days WFO, Bangalore

Experience : Relevant 9 12 Years, with People Management experience

Mode of interview : Virtual

Notice period : Immediate

Key Responsibilities :

- AI Solution Development : Lead the creation and improvement of AI tools, including generative AI models, natural language processing (NLP) applications, and predictive analytics, aligned with business objectives.

- Machine Learning & Deep Learning : Utilise supervised and unsupervised learning techniques to solve complex data science challenges. Implement advanced methods like deep learning and neural networks to optimise model performance.

- Data Engineering & Processing : Develop and refine data collection methods to establish reliable data pipelines. Focus on designing systems capable of efficiently handling large volumes of data.

- Data Visualisation : Create impactful visualisations using tools such as Power BI, making data insights accessible and actionable for stakeholders.

- Azure Open AI Expertise : Exploit Azures suite of AI tools, including LLMs and Custom Vision, for scalable, cloud-based deployment of AI solutions.

- Indexing & Document Optimisation : Develop optimised indexing techniques and document management strategies for high-volume data processing, particularly within Azure Blob storage.

- Prompt Engineering : Utilise prompt engineering methods to enhance the efficiency and accuracy of AI models, aiming to maximise the effectiveness of LLM-based systems.

- Cross-functional Collaboration : Collaborate with various teams to identify business challenges, translate them into data science projects, and deliver data-driven solutions.

- Mentorship : Guide junior data scientists, fostering an environment of growth and continuous learning.

Technical Skills :

- Proficient in Python and SQL for data manipulation, model building, and analysis.

- 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 optimisation techniques for high-volume document processing.

- Strong data visualisation abilities, with proficiency in tools such as Power BI, Tableau, or similar

Additional Skills :

- Experience with Azure Custom Vision and related AI tools.

- Exposure to prompt engineering and document content optimisation techniques.

- Familiarity with data architecture and optimisation practices for AI scalability.