Mempage Technologies

2 months ago

Bengaluru, India Mempage Full time

Company Description :

Mempage Technologies Private Limited focuses on providing Product Engineering Services and Building Future Technology to simplify life.

The company specializes in R&D, MVP, Products, and Technology services using cutting-edge technologies like Artificial Intelligence, IoT, Edge, and Cloud computing.

Mempage Technologies develops products with AI, IoT, and 5G capabilities in industries such as Smart Agriculture, Smart Grid, Health Care, Logistics, and Gaming.

They offer services in Application Development, Salesforce, Oracle, and UI/UX, with expertise in Generative AI, Large Language Models, Computer Vision, Blockchain, and IoT.

Role Description :

This is a full-time remote role for an Azure Data Scientist with a minimum of 3 years of experience.

The Data Scientist will be responsible for tasks related to data science, statistics, data analytics, data visualization, and data analysis in projects involving AI, IoT, and 5G technologies.

Qualifications :

- Data Science, Statistics, and Data Analytics skills.

- Data Visualization and Data Analysis skills.

- Experience with Azure services and tools.

- Strong problem-solving and analytical skills.

- Ability to work independently and remotely.

- Experience in product engineering or technology services.

- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field.

- Manage and analyse large datasets using Azure data services to inform business decisions.

- Build and maintain data pipeline architecture within Azure.

- Assemble complex data sets that meet functional business requirements.

- Identify, design, and implement internal process improvements.

- Using machine learning tools to select features, build robust ML models.

- Carrying out the preprocessing of structured and unstructured data.

- Enhancing- data collection procedures to include all relevant information for developing analytic systems.

- Processing, cleansing, and validating the integrity of data to be used for analysis.

- Analysing large amounts of information to find patterns and solutions.

- Developing prediction systems and machine learning algorithms.

- Propose solutions and strategies to tackle business challenges.

(ref:hirist.tech)

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