Job Description
We are looking for a hands‑on Lead Data Scientist to drive AI/ML strategy, build scalable solutions, and lead a talented team across multiple client projects.
Key Responsibilities
Lead end‑to‑end data science lifecycle: problem definition → modeling → deployment → monitoring
Build and scale AI/ML solutions: OCR, Document Intelligence, RAG, predictive models, anomaly detection, recommendations, Gen AI
Work with LLMs (Open AI, Llama, Claude, Gemini) and agentic workflows
Develop pipelines using Python, Py Torch/Tensor Flow, Hugging Face, Lang Chain/Llama Index
Implement vector search, embeddings, hybrid search, and multimodal AI
Collaborate with Data Engineering for strong ETL/ELT pipelines
Deploy models using MLOps: Docker, CI/CD, MLflow, Kubeflow, Airflow
Work on cloud ML platforms: AWS Sage Maker, GCP Vertex AI, Azure AI
Lead client discussions, demos, proposals & stakeholder communication
Mentor Data Scientists/Analysts and enforce best practices & co...
Key Responsibilities
Lead end‑to‑end data science lifecycle: problem definition → modeling → deployment → monitoring
Build and scale AI/ML solutions: OCR, Document Intelligence, RAG, predictive models, anomaly detection, recommendations, Gen AI
Work with LLMs (Open AI, Llama, Claude, Gemini) and agentic workflows
Develop pipelines using Python, Py Torch/Tensor Flow, Hugging Face, Lang Chain/Llama Index
Implement vector search, embeddings, hybrid search, and multimodal AI
Collaborate with Data Engineering for strong ETL/ELT pipelines
Deploy models using MLOps: Docker, CI/CD, MLflow, Kubeflow, Airflow
Work on cloud ML platforms: AWS Sage Maker, GCP Vertex AI, Azure AI
Lead client discussions, demos, proposals & stakeholder communication
Mentor Data Scientists/Analysts and enforce best practices & co...
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