Administration Internship Expansive Solutions

0.0 - 4.0 years

0 Lacs

maharashtra

On-site

As an intern at Expansive Solutions, your day-to-day responsibilities will include handling various office administration tasks such as supervising housekeeping, maintenance, paper filing, attendance, timesheet management, expense vouchers processing, and travel bookings. You will also be responsible for liaising with external vendors and service providers including chartered accountants, company secretaries, contract workers, telephone & broadband service providers, landlords, and graphic designers. Additionally, you will assist your manager with schedule management by making calls, booking appointments, and maintaining compliance calendars. You will also be involved in organizing company events as required and providing support to team members when needed. Expansive Solutions, founded in 2014 and based in Pune, India, is dedicated to delivering business value through data science and analytics solutions. The company offers a wide range of products and services including consulting, business transformation, visualization dashboards, algorithms for pattern detection, predictions, decision support, advanced machine learning, and AI-based process automation.,

Posted 1 month ago

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Machine Learning Engineer Vendasta Technology (India) Private Limited

0.0 - 4.0 years

0 Lacs

chennai, tamil nadu

On-site

Machine learning (ML) is a subfield of artificial intelligence that enables systems to learn from data and improve their performance on specific tasks without explicit programming. It focuses on developing algorithms that can analyze data, identify patterns, and make predictions or decisions. Essentially, machine learning allows computers to learn from experience, just like humans do, by adjusting their behavior based on the data they are exposed to. Core Concepts: - Learning from Data: Machine learning algorithms are trained on large datasets to identify patterns and relationships within the data. - No Explicit Programming: Unlike traditional programming, where you tell the computer exactly what to do, ML algorithms learn from data and adapt their behavior. - Prediction and Decision Making: The goal of ML is to enable systems to make accurate predictions or decisions based on the patterns they have learned. - Adaptability and Improvement: As ML models are exposed to more data, they can improve their performance and become more accurate over time. Types of Machine Learning: - Supervised Learning: Algorithms are trained on labeled data, where the desired output is provided for each input. - Unsupervised Learning: Algorithms work with unlabeled data and try to find hidden patterns or structures within the data. - Reinforcement Learning: Algorithms learn by interacting with an environment and receiving rewards or penalties for their actions. Job Types: Full-time, Fresher Benefits: - Provident Fund Schedule: - Day shift Work Location: In person,

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