We are seeking a Senior Data Scientist GenAI to lead the design development and deployment of advanced AI and Generative AI solutions. This is a customer-facing leadership role requiring deep hands-on expertise across the entire AI lifecycle from data engineering and model development to production deployment and team leadership.
Key Responsibilities:
- Lead end-to-end GenAI solution development from data preprocessing to production deployment
- Design and implement LLM VLM RAG and Agentic AI systems
- Build and optimize ML/DL models using modern and core techniques
- Apply NLP Transformers and prompt engineering for enterprise use cases
- Deploy scalable AI solutions using FastAPI/Flask with cloud infrastructure
- Implement MLOps best practices including CI/CD Docker and monitoring
- Drive predictive analytics use cases including time series and forecasting
- Collaborate with customers and stakeholders to translate business needs into AI solutions
- Lead mentor and manage high-performing data science teams
Requirements
- 1015 years of experience in Data Science with strong focus on GenAI
- Hands-on expertise in Python TensorFlow PyTorch and Keras
- Strong experience with LLMs RAG pipelines and Agentic AI architectures
- Solid understanding of ML DL NLP Transformers and Computer Vision (CNNs)
- Experience in production ML MLOps and cloud deployment (AWS / Azure)
- Exposure to data engineering platforms such as Azure ADF and Data-bricks
- Proven experience in customer-facing roles and team handling
- Excellent communication skills; grounded delivery-driven mindset
Required Skills:
GenAI LLMs VLMs RAG Agentic AI Python Machine Learning Deep Learning NLP Transformers Prompt Engineering MLOps Docker CI/CD FastAPI Flask AWS Azure Computer Vision Time Series Forecasting Databricks Azure Data Factory
We are seeking a Senior Data Scientist GenAI to lead the design development and deployment of advanced AI and Generative AI solutions. This is a customer-facing leadership role requiring deep hands-on expertise across the entire AI lifecycle from data engineering and model development to production...
We are seeking a Senior Data Scientist GenAI to lead the design development and deployment of advanced AI and Generative AI solutions. This is a customer-facing leadership role requiring deep hands-on expertise across the entire AI lifecycle from data engineering and model development to production deployment and team leadership.
Key Responsibilities:
- Lead end-to-end GenAI solution development from data preprocessing to production deployment
- Design and implement LLM VLM RAG and Agentic AI systems
- Build and optimize ML/DL models using modern and core techniques
- Apply NLP Transformers and prompt engineering for enterprise use cases
- Deploy scalable AI solutions using FastAPI/Flask with cloud infrastructure
- Implement MLOps best practices including CI/CD Docker and monitoring
- Drive predictive analytics use cases including time series and forecasting
- Collaborate with customers and stakeholders to translate business needs into AI solutions
- Lead mentor and manage high-performing data science teams
Requirements
- 1015 years of experience in Data Science with strong focus on GenAI
- Hands-on expertise in Python TensorFlow PyTorch and Keras
- Strong experience with LLMs RAG pipelines and Agentic AI architectures
- Solid understanding of ML DL NLP Transformers and Computer Vision (CNNs)
- Experience in production ML MLOps and cloud deployment (AWS / Azure)
- Exposure to data engineering platforms such as Azure ADF and Data-bricks
- Proven experience in customer-facing roles and team handling
- Excellent communication skills; grounded delivery-driven mindset
Required Skills:
GenAI LLMs VLMs RAG Agentic AI Python Machine Learning Deep Learning NLP Transformers Prompt Engineering MLOps Docker CI/CD FastAPI Flask AWS Azure Computer Vision Time Series Forecasting Databricks Azure Data Factory
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