Junior Machine Learning Engineer

We are seeking a motivated Junior Machine Learning Engineer to join our growing AI and Data Science team. This role is ideal for recent graduates or early-career professionals passionate about machine learning, artificial intelligence, and data-driven problem solving. The successful candidate will assist in developing, testing, deploying, and maintaining machine learning models while collaborating with senior engineers, data scientists, and business stakeholders. Key Responsibilitie sAssist in developing, training, and evaluating machine learning models for business and operational use cases

• Perform data collection, cleaning, preprocessing, and feature engineering to support model development
• Write efficient Python and SQL code to analyze data and build machine learning solutions
• Support the deployment, monitoring, and maintenance of machine learning models in production environments
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
• Create dashboards, reports, and visualizations to communicate model performance and analytical findings
• Document processes, experiments, and technical solutions while adhering to software development best practices
• Required Qualificatio nsBachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, Engineering, or a related fiel

d.Experience through internships, academic projects, research, or professional wor k.Proficiency in Python and SQ L.Familiarity with machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, or XGBoos t.Understanding of statistics, data structures, algorithms, and machine learning fundamental s.Strong analytical thinking and problem-solving abilitie s.Excellent written and verbal communication skill s.Preferred Qualificati onsExperience with cloud platforms such as AWS, Azure, or Google Cloud Platfo rm.Knowledge of Git, Docker, and basic MLOps concep ts.Familiarity with data visualization tools such as Power BI, Tableau, or Matplotl ib.Exposure to NLP, Generative AI, Deep Learning, or Computer Vision through coursework or projec #J-18808-Ljbffr Matricstek Inc.