Data Mining & ML- Intern/Fresh - Hybrid/Remote/Full/PartTime

About Us:

We are expanding our business to provide cutting-edge area solutions such as legal, retails, medicine, environments, manufacturing, telecom, agriculture, education, social science, business, finance, etc, collaborating with leading Organizers. This role offers an opportunity to work across multiple departments and with large companies in interdisciplinarity sectors.

Responsibilities:

Perform data analysis and visualization tasks, including handling crashed datasets, preprocessing, and visualization using tools like Power BI and other Data Visualization Tools, and you must be programmable in any languages such as Python, R, ect.

Collaborate closely with consultants to support model development and implementation.

Understand and apply international and national laws relevant to our projects or any domain application such as telecom, education, medicine, finance, insurance, etc

Utilize AI, machine learning, and deep learning concepts to enhance legal or any domain solutions.

Demonstrate proficiency in programming languages such as Python or R, and SQL for advanced data querying.

Apply critical thinking and decision-making skills to solve complex problems.

Requirements:

Proven experience as an AI Engineer, Data Engineer, or similar role with masterful programming skills.

Background in Legal Programs or related fields is advantageous.

Excellent English communication skills, both written and verbal.

Familiarity with conceptual foundations in AI, machine learning, deep learning, and knowledge-based systems.

Advanced programming skills in Matlab, Python, C++, R, etc., for data analysis and modeling purposes.

Benefits:

Competitive salary and benefits package.

Opportunities for professional growth and development in a dynamic, expanding industry.

Flexible work arrangements (Hybrid/Work From Home).

How to Apply:

Interested candidates should submit their resume and cover letter detailing their relevant experience and skills to [Insert Contact Information].

Keywords: [#DataScience] [#AI] [#DataAnalysis] [#BisinessAnalysis] [#machinelearning] [#BigData] [#DataEngineering]

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