Machine Learning Engineer

About Techwave TechnologiesTechwave Technologies is a technology and talent solutions company focused on helping organizations build modern technology teams and implement innovative solutions across emerging technologies. We work with professionals and organizations across areas including Artificial Intelligence, Machine Learning, Data Engineering, Cloud Computing, Software Engineering, and Data Analytics.We are looking for motivated entry-level professionals who are passionate about Artificial Intelligence and Machine Learning and want to build their careers in the rapidly evolving AI ecosystemPosition OverviewTechwave Technologies is seeking an Entry-Level AI/ML Engineer to join our growing technology team. This opportunity is ideal for recent graduates, career starters, and candidates with internship, academic, or project-based experience in Artificial Intelligence, Machine Learning, Data Science, or related fields.The selected candidate will work with experienced technology professionals to develop, test, and optimize machine learning solutions and gain practical exposure to modern AI technologies.Key ResponsibilitiesAssist in developing, training, testing, and evaluating machine learning and deep learning models.Perform data collection, cleaning, preprocessing, exploratory data analysis (EDA), and feature engineering.Develop ML solutions for classification, regression, clustering, prediction, and pattern recognition problems.Use Python, Pandas, NumPy, and scikit-learn for data analysis and model development.Gain hands-on experience with PyTorch, TensorFlow, or other ML frameworks.Evaluate model performance using appropriate metrics and techniques and assist with model optimization.Work with structured and unstructured datasets, including text, numerical, and other data formats.Assist in integrating ML models with applications and APIs.Collaborate with software engineers, data scientists, and business teams to understand requirements and develop AI-driven solutions.Write clean, maintainable, and well-documented code using Git/GitHub.Support testing, debugging, troubleshooting, and documentation of AI/ML solutions.Stay current with developments in Generative AI, LLMs, NLP, computer vision, and machine learning technologies.