KSOLVES

Role Overview: As a Machine Learning Engineer, you will be responsible for developing proof of concepts (POCs) and implementing basic ML models. You will also be required to train and optimize these models, perform data preprocessing, and work with small to medium-sized datasets. Additionally, you will need to utilize ML/AI APIs from platforms such as GCP, AWS, or Azure, and collaborate with teams to integrate ML models into applications. Key Responsibilities: - Develop proof of concepts (POCs) and implement basic ML models. - Train and optimize basic ML models and perform data preprocessing. - Work with small to medium-sized datasets. - Use ML/AI APIs from GCP, AWS, or Azure. - Collaborate with teams to integrate ML models into applications. Qualifications Required: - Bachelors/Masters degree in a relevant field. - 1+ years of experience in machine learning or data science. - Proficiency in Python and libraries like Scikit-learn and Pandas. - Basic knowledge of cloud platforms and ML DevOps. - Strong problem-solving and analytical skills.,