
o You’re both relentless and kind, and don’t see these as being mutually
exclusive
o You have a self-directed learning style, an insatiable curiosity, and a
hands-on execution mindset
o You have deep experience working with product and engineering teams
to launch machine learning products that users love in new or rapidly
evolving markets
o You flourish in uncertain environments and can turn incomplete,
conflicting, or ambiguous inputs into solid data-science action plans
o You bring best practices to feature engineering, model development, and
ML operations
o Your experience in deploying and monitoring the performance of models
in production enables us to implement a best-in-class solution
o You have exceptional writing and speaking skills with a talent for
articulating how data science can be applied to solve customer problems
Must-Have Qualifications
o Graduate degree in engineering, data science, mathematics, physics, or
another quantitative field
o 5+ years of hands-on experience in building and deploying production-
grade ML models with ML frameworks (TensorFlow, Keras, PyTorch) and
libraries like scikit-learn
o Track-record in building ML pipelines for time series, classification, and
predictive applications
o Expert level skills in Python for data analysis and visualization, hypothesis
testing, and model building
o Deep experience with ensemble ML approaches including random forests
and xgboost, and experience with databases and querying models for
structured and unstructured data
o A knack for using data visualization and analysis tools to tell a story
o You naturally think quantitatively about problems and work backward
from a customer outcome
What’ll make you stand out (but not required)
o You have a keen awareness or interest in network analysis/graph analysis
or NLP
o You have experience in distributed systems and graph databases
o You have a strong connection to finance teams or closely related
domains, the challenges they face, and a deep appreciation for their
aspirations

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Why Moshi Moshi? The learning curve at Moshi Moshi is very high when compared to the industry average and that's primarily because you get to work with Companies / Brand managers / Marketers of different sizes and thought processes who push you to think better and faster. So, hop on to the ride we dearly call Moshi Moshi and let's Say hello to the world.
PS:- We are also very close to a lot of food joints and breweries, so in case your manager/boss gives you a lot of work or is Expecting the Extra, you can quickly grab a recharge and continue with your everyday life struggles. We can't do much about the manager!
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Note- Connect me on LinkedIn Ankitajain [ pixelphant ]
Sincerely
HR Department
PIXELPHANT
Plz Share your resume on - CAREERS AT THE RATE PIXELPHANT DOT IN
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