- As a Senior Data Scientist specializing in Generative AI, you will:
- Shape Next-Generation Solutions: Partner with cross-functional teams to design and implement AI-driven systems that transform user experiences and streamline business processes.
- Enhance AI Through Data: Employ data-centric methodologies to improve model accuracy and responsiveness by curating high-quality datasets and optimizing real-time performance.
- Finetune Industry-Specific Gen AI Models: Adapt and fine-tune large language models for domain-specific applications using advanced techniques like instruction tuning, domain adaptation, and reinforcement learning from human feedback (RLHF).
- Develop Intelligent AI Agents: Architect and refine AI agents that solve complex business challenges, leveraging LLMs to deliver personalized, user-centric solutions.
- Advance Generative AI Applications: Innovate with cutting-edge generative AI models such as LLM, VLM, GANs, and VAEs to create tailored applications for dynamic content creation, predictive analytics, and enhanced automation.
- Scale AI with Cloud Technology: Deploy and scale LLM-based solutions on platforms like GCP, AWS and Azure to address real-world business problems with precision and efficiency.
Qualifications
Your Skills & Experience:
- Bachelor s degree in computer science, data science, mathematics, or a related field.
- At least two years experience as a machine learning engineer.
- Advanced proficiency with Python, Java, and R code writing.
- Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
- In-depth knowledge of mathematics, statistics, and algorithms.
- Superb analytical and problem-solving abilities. Set Yourself Apart With:
- Experience in Docker, Kubernetes, Kubeflow, MLflow, DVC, Cloud platforms
- ML Model deployments and serving
- Model Monitoring, Management and Governance
- ML Feature Store and Artefact Store
- Orchestration and ML Pipelines Benefits of Working Here: