24/11 Garima Shukla
Senior Executive - Recruitment at Vbeyond Corporation

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Machine Learning Architect - Python/Hadoop/R (9-18 yrs)

Bangalore Job Code: 383876

Job Description :

- Understand business process/ business problems and device machine learning solutions to optimize business processes wherever possible.

- Formulating machine learning solutions to business metrics, designing features from the data available from many large data sources, training, evaluating, and deploying models

- Developing high-performance algorithms for precision targeting, testing and implementing these algorithms in scalable, production-ready code; Interacting with other teams to define interfaces and understanding and resolving dependencies

- Developing coding in high-level languages such as R, Python, Java Architect ML solutions in cloud infrastructure etc.

Must have :

- Bachelors or higher computational science with an emphasis on Machine Learning

- Minimum 4+ years of experience of writing production quality code;

- Experience with traditional as well as modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods

- Experience with end-to-end modeling projects emerging from research efforts

- Architecture and programing knowledge of data processing on Hadoop programming environments (e.g. Spark/Hive/Pig).

- Strong implementation experience in high-level languages, such as R, Python, Perl, Ruby, Scala or similar scripting languages;

- Familiarity with Linux/Unix/Shell environments;

- Strong hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data;

- Experience in creating large data feature stores for Machine learning in Teradata or similar databases.

- Your github/kaggle profile showing a project or problems you- ve tackled

Preferred : Developer / Architect Certification in AWS or Azure is a plus

Important pointers :

- Hands-on coding experience on a variety of ML techniques

- Deployed codes in production - solved problems in entirety

- The breadth of experience if possible - advanced analytics and now in ML

- Must have experience of deploying their codes in production

- Good Communication skills

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