Looking for a Junior Machine Learning Engineer to join our dynamic team. The ideal candidate will assist in developing, implementing, and maintaining machine learning models and algorithms to solve complex business problems. You will work closely with senior engineers and data scientists to design, experiment, and deploy machine learning solutions. This role offers an excellent opportunity to grow your skills in a collaborative environment while contributing to cutting-edge projects.

Responsibilities:

• Collaborate with senior engineers and data scientists to understand project requirements and design machine learning solutions
• Develop, test, and deploy machine learning models and algorithms
• Pre-process data, perform feature engineering, and explore data to identify patterns and insights
• Evaluate model performance, troubleshoot issues, and optimize algorithms for scalability and efficiency
• Stay updated with the latest machine learning techniques, tools, and technologies
• Document code, processes, and results thoroughly for reproducibility and knowledge sharing
• Assist in integrating machine learning models into production systems and workflows
• Participate in code reviews, team meetings, and brainstorming sessions to contribute ideas and improvements

Mandatory Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or related field
• 1-2 years of experience in machine learning or data science
• Solid understanding of machine learning fundamentals and algorithms such as regression, classification, clustering, and neural networks
• Proficiency in programming languages such as Python, R, or Java, with experience in libraries like TensorFlow, PyTorch, scikit-learn, or Keras
• Experience with data manipulation, visualization, and analysis using tools like pandas, NumPy, or matplotlib
• Familiarity with version control systems like Git and collaborative development workflows

Preferred Qualifications:

• Experience with cloud platforms such as AWS, Azure, or Google Cloud
• Knowledge of big data technologies like Hadoop, Spark, or Kafka
• Understanding of software engineering principles and practices
• Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes
• Experience with deep learning frameworks and architectures
• Contributions to open-source projects or participation in machine learning competitions