NLP Engineer at KARZA · Remote only · 2 - 5 years · ₹6L - ₹19L / yr · Remote only · Posted 23 Nov 2022

with the engineering team to strategize and execute the development of data products
● Execute analytical experiments methodically to help solve various problems and make a true impact across
various domains and industries
NLP ENGINEER at KARZA TECHNOLOGIES
● Identify relevant data sources and sets to mine for client business needs, and collect large structured and
unstructured datasets and variables
● Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve
models, and clean and validate data for uniformity and accuracy
● Analyze data for trends and patterns, and Interpret data with a clear objective in mind
● Implement analytical models into production by collaborating with software developers and machine
learning engineers
● Communicate analytic solutions to stakeholders and implement improvements as needed to operational
systems
What you need to work with us:
● Good understanding of data structures, algorithms, and the first principles of mathematics.
● Proficient in Python and using packages like NLTK, Numpy, Pandas
● Should have worked on deep learning frameworks (like Tensorflow, Keras, PyTorch, etc)
● Hands-on experience in Natural Language Processing, Sequence, and RNN Based models
● Mathematical intuition of ML and DL algorithms
● Should be able to perform thorough model evaluation by creating hypotheses on the basis of statistical
analyses
● Should be comfortable in going through open-source code and reading research papers.
● Should be curious or thoughtful enough to answer the “WHYs” pertaining to the most cherished
observations, thumb rules, and ideas across the data science community.
Qualification and Experience Required:
● 1 - 4 years of relevant experience
● Bachelor/ Master’s degree in computer science / Computer Engineering / Information Technology

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Key Responsibilities
Strong understanding of Machine Learning algorithms (supervised and unsupervised)
Hands-on experience with Deep Learning frameworks (TensorFlow, PyTorch, or similar)
Experience in NLP techniques and libraries (NLTK, spaCy, Hugging Face, etc.)
Solid knowledge of Statistics, probability, and data analysis methods
Proficiency in SQL for querying relational databases
Strong programming skills in Python (or similar languages)
Excellent communication skills with the ability to explain complex concepts simply
Required Qualifications
3+ years of hands-on experience as a Data Scientist or in a similar role.
Strong expertise in classical machine learning and regression modeling.
Solid understanding of statistics, including probability, distributions, hypothesis testing,
and correlation analysis.
Proficiency in Python with libraries such as: scikit-learn pandas NumPy
Experience working with structured/tabular data.
Strong problem-solving and analytical thinking skills.
Ability to clearly explain models and results to non-technical stakeholders.






