Senior Principal Consultant - Data Science

Job Description

Inviting applications for the role of Architect - Automation

We are seeking an innovative and highly skilled Data Scientist with expertise in AI/ML Generative AI and Large Language Models (LL Ms). The role involves building advanced machine learning models leveraging generative AI frameworks and applying data science techniques to solve complex business problems. The ideal candidate will bring strong programming skills hands-on experience with AI/ML libraries and exposure to cloud-based AI services.
Responsibilities:
- Design develop and deploy machine learning and generative AI models to address business needs.
- Work with large-scale datasets using Python SQL and industry-standard libraries (Scikit-learn Tensor Flow Py Torch Keras Auto ML etc.).
- Develop and fine-tune LLM-based solutions (GPT-3 GPT-4 or similar models) for real-world applications.
- Ensure data quality integrity and compliance with best practices frameworks and coding standards.
- Collaborate with cross-functional teams (engineering product business) to translate requirements into AI-driven solutions.
- Explore and apply natural language processing (NLP) techniques for text understanding summarization and sentiment analysis.
- Implement solutions on cloud platforms (Azure AWS or GCP) ensuring scalability and efficiency.
- Manage project team and supervise end to end project.
- Research and experiment with Gen AI Agentic AI models and advanced frameworks to drive innovation.
- Mentor junior team members on AI best practices and troubleshooting.

Preferred Qualifications/ Skills

• Prior experience in building or fine-tuning LLM applications.
• Familiarity with NLP techniques and tasks (NER, sentiment analysis, summarization, text classification).
• Exposure to AutoML frameworks and cloud AI services (Azure AI, AWS SageMaker, GCP Vertex AI).
• Experience with MLOps practices for model lifecycle management.
• Strong problem-solving, communication, and collaboration skills in multidisciplinary environments.