Orange Business Services | Hiring | Data Scientist | Gurgaon/Gurugram | BigDataKB.com | 2022-09-28

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Job Location: Gurgaon/Gurugram

About the role

Identify and analyze user requirements.

Work closely with IT and Business stakeholders to understand business needs and work collaboratively to deliver solutions

Prioritize, assign, and execute tasks throughout the Data/AIML project life cycle.

Responsible for planning, execution, and delivery of ML systems.

Designing and developing machine learning, NLP, and deep learning systems

Research and implement appropriate ML algorithms and tools

Expert in data science, ML/AI subjects.

Work with different team to define and load data sources from multiple data sources/ Data Lake/Data hub/ Datawarehouse systems for ML/AI based systems.

About you

2+ years of experience, has a B.Tech/MCA degree or similar, and is familiar with the following skills and tools/technologies:

Work experience as a ML engineer or similar role.

In-depth knowledge of Machine Learning, NLP, Data analysis, SQL (advance level), Hive (BigData/HDFS), Python/Java/Scala, Spark, ETL etc.

Responsible for implementing Continuous Integration (CI) and Continuous Deployment (CD) pipelines within AI/ML platforms

Knowledge of using statistical languages (Python, Scala, SQL, etc.) to manipulate data and draw insights from large data sets.

Working knowledge of a variety of machine learning techniques and concepts.

Working knowledge of Model evaluation metrics and model deployment.

Hand on Data visualizing/presenting data, ML Model results for stakeholders

Hands on experience in cloud environment.

Hands-on experience writing Complex database queries, API/Webservices, ETL/ELT, feature engineering techniques.

Good understanding of standard Data/ML Project SDLC

Deep knowledge of math, probability, statistics, and algorithms

Good delegation and time management skills.

Problem-solving abilities

Experience of SAFe/Scrum Agile working practices is desirable

Additional information

Additonal knowledge on below Hands-on on will be considered as an edge.

Any cloud technology: GCP/AWS/Azure

No SQL (MongoDB)

PostgreSQL

Python/Scala/Spark/SparkSQL/Hive/BigData/Kafka/Datawarehouse

Apply Here

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