Consultant / Senior Associate Consultant
Nomura Research Institute India Pvt Ltd ( NRI India )Posted on
Experience
2 - 3 yrs
Salary (CTC)
₹12.5L - ₹17.5L
Job Location
Gurugram, India
Vacancy
1
Designation
Senior Associate Consultant
Job Type
Not specified
Job Description
Experience building production ML pipelines for model training/prediction in Python and R. (Must have)
-Experience working with open source ML libraries such as Sklearn, Pandas and TensorFlow (Must have)
-Create and maintain ML model training/prediction pipelines in production
-Create re-usable tools and frameworks for ML model deployment and monitoring
-Experience working with large data sets, coming from varied sources (Must have)
-Experience with both object-oriented and functional programming concepts (Must have)
-Good knowledge of MS productivity tools (Must have)
-Working knowledge of visualization tools (e.g. Tableau/Power BI etc.) (Good to have)
-Experience working with ML model training/deployment tools (such as Airflow, Kubeflow, Seldon etc.) (Good to have)
-Familiarity with data engineering tools (Spark/Kafka etc.) (Good to have)
-Experience working with open source ML libraries such as Sklearn, Pandas and TensorFlow (Must have)
-Create and maintain ML model training/prediction pipelines in production
-Create re-usable tools and frameworks for ML model deployment and monitoring
-Experience working with large data sets, coming from varied sources (Must have)
-Experience with both object-oriented and functional programming concepts (Must have)
-Good knowledge of MS productivity tools (Must have)
-Working knowledge of visualization tools (e.g. Tableau/Power BI etc.) (Good to have)
-Experience working with ML model training/deployment tools (such as Airflow, Kubeflow, Seldon etc.) (Good to have)
-Familiarity with data engineering tools (Spark/Kafka etc.) (Good to have)
Work Location:
Gurgaon, Haryana
Job Requirements:
Key Responsiblities: -Interpret and analyze (structured and unstructured) data using exploratory statistical and mathematical techniques to identify trends,anomalies, and quantify business results.
-Ability to perform data discovery tasks and work with large data sets.
-Apply Data Mining/ Data Analysis methods using a variety of data tools, building and implementing models using algorithms and creating/running simulations to drive optimisation and improvement across business functions.
-Work with data scientists to refine Machine Learning (ML) model and scale it up
-Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
-Ability to work collaboratively with cross-functional teams to improve outcome of Research projects/BD activities / Productdevelopment / Projects execution.
-Ability to perform data discovery tasks and work with large data sets.
-Apply Data Mining/ Data Analysis methods using a variety of data tools, building and implementing models using algorithms and creating/running simulations to drive optimisation and improvement across business functions.
-Work with data scientists to refine Machine Learning (ML) model and scale it up
-Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
-Ability to work collaboratively with cross-functional teams to improve outcome of Research projects/BD activities / Productdevelopment / Projects execution.
Profession Attributes: 2 - 3 years
Educational Qualification: A Bachelor s or Master s in computer science or related disciplines (including Math/Statistics), with at least 2 years of relevant work experience (Must have)
This job description is for Cross Functional Consulting Grouponly, and not applicable to other groups at this moment.
If you think youre the right candidate for the role, please send us your CV and a cover letter (max 500 words) in English or Japanese.
Please note, only successful candidates will be contacted.
If you think youre the right candidate for the role, please send us your CV and a cover letter (max 500 words) in English or Japanese.
Please note, only successful candidates will be contacted.