Machine Learning Engineer

In your role overview, you will be working in the subfield of artificial intelligence known as Machine Learning (ML). ML enables systems to learn from data and enhance their performance on specific tasks without explicit programming. Your focus will be on developing algorithms that can analyze data, identify patterns, and make predictions or decisions. This will allow computers to learn from experience, similar to human beings, by adjusting their behavior based on the data they are exposed to. Key Responsibilities: - **Learning from Data:** You will be training machine learning algorithms on large datasets to identify patterns and relationships within the data. - **No Explicit Programming:** Unlike traditional programming, where you provide exact instructions, ML algorithms learn from data and adapt their behavior accordingly. - **Prediction and Decision Making:** Your goal will be 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 will improve their performance and become more accurate over time. Qualifications Required: - **Supervised Learning:** You should be familiar with algorithms trained on labeled data, where the desired output is provided for each input. - **Unsupervised Learning:** Understanding of algorithms working with unlabeled data to find hidden patterns or structures within the data. - **Reinforcement Learning:** Knowledge of algorithms learning through interactions with an environment and receiving rewards or penalties for their actions. In addition to the job description, the company offers benefits such as Provident Fund. The work schedule is during the day shift, and the work location is in person. This is a full-time job opportunity suitable for freshers looking to explore the field of Machine Learning.,