Role Overview
We are looking for an experienced AI/ML & Data Science professional to drive Generative AI and Machine Learning solutions for enterprise use cases. The role involves working on advanced analytics building scalable AI systems and collaborating with cross-functional teams to deliver business impact.
Key Responsibilities
- Design and develop Generative AI applications (LLMs RAG embeddings)
- Work on prompt engineering vector databases and AI workflows
- Fine-tune and optimize pre-trained models for business use cases
- Develop and deploy ML models and predictive analytics solutions
- Work on NLP forecasting recommendation systems and clustering/classification problems
- Perform feature engineering and model optimization
- Build scalable backend services and APIs using Python
- Integrate AI/ML models into enterprise systems
- Ensure code performance scalability and reusability
- Deploy models in production environments (cloud platforms preferred)
- Work with MLOps pipelines REST APIs and microservices
- Monitor model performance and enable continuous improvement
Required Skills
- Strong expertise in Data Science Machine Learning and AI/ML modeling
- Hands-on experience with Python
- Experience in Generative AI (LLMs NLP RAG prompt engineering)
- Exposure to cloud platforms (AWS/Azure/GCP)
- Strong problem-solving and stakeholder management skills
Role OverviewWe are looking for an experienced AI/ML & Data Science professional to drive Generative AI and Machine Learning solutions for enterprise use cases. The role involves working on advanced analytics building scalable AI systems and collaborating with cross-functional teams to deliver busin...
Role Overview
We are looking for an experienced AI/ML & Data Science professional to drive Generative AI and Machine Learning solutions for enterprise use cases. The role involves working on advanced analytics building scalable AI systems and collaborating with cross-functional teams to deliver business impact.
Key Responsibilities
- Design and develop Generative AI applications (LLMs RAG embeddings)
- Work on prompt engineering vector databases and AI workflows
- Fine-tune and optimize pre-trained models for business use cases
- Develop and deploy ML models and predictive analytics solutions
- Work on NLP forecasting recommendation systems and clustering/classification problems
- Perform feature engineering and model optimization
- Build scalable backend services and APIs using Python
- Integrate AI/ML models into enterprise systems
- Ensure code performance scalability and reusability
- Deploy models in production environments (cloud platforms preferred)
- Work with MLOps pipelines REST APIs and microservices
- Monitor model performance and enable continuous improvement
Required Skills
- Strong expertise in Data Science Machine Learning and AI/ML modeling
- Hands-on experience with Python
- Experience in Generative AI (LLMs NLP RAG prompt engineering)
- Exposure to cloud platforms (AWS/Azure/GCP)
- Strong problem-solving and stakeholder management skills
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