Senior Data scientist

Qualification :

• Bachelors or Masters degree in a quantitative field (CS, machine learning, mathematics, statistics) or
• equivalent experience.
• 5+ years of experience in data science, building hands-on ML models
• Experience with LMs (Llama (1 / 2 / 3), T5, Falcon, Langchain or framework similar like Langchain)
• Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large
• Language Models), training data creation, training set-up and finetuning
• Candidate must be comfortable interpreting research papers and architecture diagrams of Language Models
• Candidate must be comfortable with LORA, RAG, Instruct fine-tuning, Quantization, etc.
• Experience leading the end-to-end design, development, and deployment of predictive modeling
• solutions.
• Excellent programming skills in Python. Strong working knowledge of Pythons numerical, data analysis,
• or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc.
• Advanced SQL skills with SQL Server and Spark experience.
• Knowledge of predictive / prescriptive analytics including Machine Learning algorithms (Supervised and
• Unsupervised) and deep learning algorithms and Artificial Neural Networks
• Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing
• and topic modeling.
• Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in
• a fast-paced, innovative environment
• Experience with data visualization tools PowerBI, Tableau, R Shiny, etc. preferred
• Experience with cloud platforms such as Azure, AWS is preferred but not required.

Skills Required

Numpy, Pandas, Sql