Data Scientist

Overview:

We are looking for a passionate and detail-oriented Data Scientist with 12 years of hands-on experience in data science, machine learning, and deep learning. The ideal candidate will have practical exposure to real-world projects involving RAG systems, computer vision, and cloud deployment, and will be eager to contribute innovative solutions in a dynamic environment.

Key Responsibilities:

• Design, develop, and deploy machine learning and deep learning models for real-world business challenges.
• Work on projects involving RAG systems (Retrieval-Augmented Generation), computer vision, and large-scale data applications.
• Develop and maintain ML pipelines, ensuring scalability and performance.
• Deploy solutions on cloud platforms such as GCP, Azure, or AWS.
• Collaborate with cross-functional teams to understand requirements and deliver data-driven insights and solutions.
• Implement and monitor experiments, ensuring reproducibility with tools like MLflow and Langfuse.
• Build intuitive dashboards and prototypes using Streamlit or similar tools.
• Ensure smooth integration of ML models into applications using Flask, FastAPI, or Django.

Required Skills:

• Programming Languages: Python, SQL
• Data Science Frameworks & Tools: TensorFlow, PyTorch, MLflow, LangChain, Langfuse, Flowise, Hugging Face Transformers, Streamlit
• Frameworks for Integration: Flask, FastAPI, Django
• Cloud Platforms: GCP, Azure, or AWS (any)

Good to Have Skills:

• Experience with no-code tools for rapid prototyping.
• Familiarity with OpenAI SDK and Google Agent SDK.