



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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Title: Full Stack Developer
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WALK-INTERVIEWS FOR DATA ENTRY EXECUTIVES!!!
Selected Candidates will get immediate joining.
Note: Only interested candidates can Walk-in for Interviews
Job Location - Visakhapatnam
Open Positions: 80 (Please pass this Message to all your Friends / Relatives who are looking for a Job and also share in your whatsapp Groups.
Interview Timings: 11 AM to 2 PM
Interview Date: Interviews Happen every day (Monday – Friday)
Please mention my name on the resume while coming for an interview.
Industry Name: US Title Insurance
Company Name: IDA Automation Pvt, Ltd
Job Type: Data Process Executive
Skill Set Required – Net Speed 30 – 35 wpm & 95% accuracy is Mandate.
Language – Basic English Comprehension which mean person should able to speak and understand the language.
Qualification –Under Graduates Any Graduates & (Inter / Diploma/ ITI)
B.Tech 2013/2014/2015/2016/2017/2018 is eligible.
Note: Post Graduation are not eligible.
Job Timings: 2 shifts (Day 7 Am – 6 Pm which mean in this bracket 9 hours they need to work & Night (9 PM – 6 AM)
Food / Transport and Accommodations are not provided by Company.
Gender: Both Male & Female are Eligible. (Night Shift is Mandate for Both)
Age: 30 or Below
CTC per annum): 1, 43000 (Take Home: 9,382)
Night shift allowance: 1200 (Approx)
Six days working
No Indian Holidays.
Job Type: Full Time (Work for Home is not available)
* Carry all the documents Xerox Copy (Resume/10th/Inter/Aadhar/Pan Card) while coming for the Interview
Note: We don’t Charge anything from the candidates.
Please walk-in directly to below venue with all documents. (No Call/ No MSG)
Contact Persons: Sarat Kumar
Landmark: Opp to Wipro
Interview Venue:
IDA Automation Pvt, Ltd
Gate No: 2, First Floor,
Tech Mahindra Hub/ Tech Smart Building,
Satyam Junction,
Visakhapatnam - 530013

