Lead Data Science Specialist ( Immediate Joiners )
- CDM Smith
- 9 - 14 years
- Chennai
- 14 hours ago
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Job Description
Job description
Why CDM Smith?
- Join a team of innovators dedicated to driving data science and AI to new heights.
- Opportunity to work on impactful projects that shape the future of CDM Smith and the industries we serve.
- Competitive compensation and benefits package, with opportunities for professional development and growth.
About CDM Smith:
CDM Smith is dedicated to innovating and driving digital transformation through advanced AI and data science solutions. Our goal is to develop state-of-the-art, industry-leading AI tools that enhance and transform business processes. As a member of our data science team, you will work alongside skilled professionals who are committed to pioneering transformative technologies.
Position Summary:
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 our 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, that align with CDM Smiths business goals.
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.
Required Qualifications:
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.
- 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.
Preferred Qualifications
Additional Skills:
- Experience with Azure Custom Vision and related AI tools.
- Exposure to prompt engineering and document content optimization techniques.
- Familiarity with data architecture and optimization practices for AI scalability.
Soft Skills:
Ability to establish and build relationships across departments.
Strong organizational skills and attention to detail.
Ability to adapt quickly in a dynamic, fast-paced environment.
Job Classification
Industry: Engineering & ConstructionFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full timeContact Details:
Company: CDM SmithLocation(s): Chennai
Keyskills: GENAI Azure Generative AI CI/CD pipelines Deploying Models
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