Machine Learning Engineer
Job Title: Entry-Level Machine Learning EngineerJob Type: Full-TimeLocation: Candidate must be open to relocate. USAJob SummaryWe are seeking a motivated Entry-Level Machine Learning Engineer with a strong foundation in machine learning, artificial intelligence, and software development. The ideal candidate will assist in designing, building, testing, and deploying machine learning models while working closely with data engineers, software developers, and senior ML engineers to develop scalable AI-driven solutions.This role is ideal for candidates with 1–4 years of experience and a Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.Key ResponsibilitiesDevelop, train, test, and optimize machine learning models.Work with structured and unstructured datasets for model development.Build and maintain data preprocessing and feature engineering pipelines.Implement machine learning algorithms using Python and industry-standard libraries.Collaborate with data engineers to prepare and validate datasets.Deploy ML models using cloud platforms and monitor model performance.Participate in code reviews, testing, debugging, and documentation.Stay current with advancements in AI, machine learning, and cloud technologies.Required QualificationsMaster's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.1–4 years of experience in Machine Learning, AI, or Software Development.Strong programming skills in Python.Good understanding of machine learning algorithms, supervised and unsupervised learning, and model evaluation.Experience with TensorFlow, PyTorch, or Scikit-learn.Knowledge of SQL and data manipulation using Pandas and NumPy.Understanding of data structures, algorithms, and object-oriented programming.Familiarity with Git and software development best practices.Preferred QualificationsExperience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).Knowledge of Deep Learning, NLP, Computer Vision, or Generative AI.Familiarity with Docker, Kubernetes, or MLOps concepts.Experience with Spark, Databricks, or distributed computing is a plus.Excellent analytical, problem-solving, and communication skills.