Job Description
Data Scientist Lead
We are seeking an experienced professional with 6–8 years of hands-on expertise in Generative AI, AI/ML, and Data Science technologies to lead our team. The ideal candidate will have a strong background in building production-grade solutions, implementing end-to-end Generative AI projects, and working across cloud ecosystems. Our company values innovation and teamwork, and we're looking for someone who can drive business growth through data-driven insights.
Key Responsibilities
* Design and implement complex Generative AI applications using advanced methodologies such as RAG, prompt engineering, embeddings, and fine-tuning.
* Develop high-performance AI/ML solutions leveraging cloud platforms like GCP Vertex AI, Azure AI, and AWS Bedrock.
* Work with structured and unstructured data to build scalable RAG-based solutions.
* Integrate agent frameworks (e.g., Google ADK, LangGraph, CrewAI) into AI workflows efficiently.
* Collaborate with cross-functional teams to ensure seamless API integration, test automation, and adherence to software engineering best practices.
* Optimize applications for scalability and performance in cloud environments to meet business demands.
Required Skills & Qualifications
* 6–8 years of experience in AI/ML and Data Science, including 2+ years in Generative AI projects.
* Strong proficiency in Python and frameworks such as Flask and FastAPI.
* Hands-on experience with deep learning, TensorFlow, and NLP techniques.
* Expertise in cloud AI services, preferably GCP Vertex AI, and familiarity with Vertex AI Vector Search, Gemini, Cloud Run, and Cloud SQL.
* Experience with agent-based frameworks like LangChain and LangGraph.
* Solid understanding of API integration, test automation, and software engineering principles.
* Excellent teamwork and communication skills, with the ability to work effectively in a collaborative environment.
Qualifications
* Bachelor's degree in Computer Science or related field.
* Proven ability to deliver end-to-end Generative AI solutions in production environments, driving business results through data-driven insights.