Data Science, Python , OOP, Scikit-learn, TensorFlow, Keras, PyTorch, Large Language Models (LLMs) , LangChain and LlamaIndex
Qualification:
Any Degree
About the Role-
We're looking for a curious, driven, and innovative Data Scientist (Senior I) who is passionate about pushing the boundaries of AI and machine learning. If you enjoy solving real-world problems, experimenting with the latest advancements in generative AI, and mentoring a growing team, this role is for you.
Join us to work in a collaborative, fast-paced environment where your ideas matter, your code drives impact, and your contributions help shape meaningful, AI-powered products.
Key Responsibilities
Design, develop, and deploy machine learning systems for real-world business use cases
Conduct applied ML research and experimentation
Read, evaluate, and implement concepts from research papers, especially in generative AI
Mentor and guide junior and mid-level data scientists
Write production-quality, object-oriented Python code
Develop, optimize, and evaluate ML/DL models across supervised and unsupervised learning domains
Required Skills-
3-5 years of experience as a Data Scientist
Strong understanding of statistics, probability, and ML fundamentals
Advanced proficiency in Python and object-oriented programming
Solid grasp of data structures and algorithms
Expertise with ML/DL libraries: Scikit-learn, TensorFlow, Keras, PyTorch
Deep understanding of classical algorithms such as Linear/Logistic Regression, Gradient Descent, Decision Trees, SVM, etc.
Ability to translate research into production-ready solutions
Experience building LLM applications using frameworks like LangChain or LlamaIndex (preferred)
* Experience with Transformer architectures and large language models (preferred)
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