Junior Machine Learning Engineer

We are seeking a motivated Junior Machine Learning Engineer to join our dynamic team in the software and high-tech industry. The ideal candidate will assist in developing, implementing, and optimizing machine learning models, collaborating with cross-functional teams to enhance data-driven solutions. A strong foundation in programming, statistics, and machine learning concepts is essential, along with a willingness to learn and adapt in a fast-paced environment.

Key Responsibilities:

• Assist in the design and development of machine learning models and algorithms.
• Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems.
• Conduct data preprocessing, feature engineering, and model evaluation to ensure high-quality outputs.
• Participate in the deployment and monitoring of machine learning models in production environments.
• Stay updated with the latest trends and advancements in machine learning and artificial intelligence.

Required Skills:

• Proficiency in programming languages such as Python or R.
• Familiarity with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Understanding of data manipulation and analysis using tools like Pandas and NumPy.
• Basic knowledge of statistics and probability theory.
• Strong problem-solving skills and the ability to work collaboratively in a team environment.

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn).
• Exposure to cloud platforms (e.g., AWS, Google Cloud) and containerization technologies (e.g., Docker).
• Previous internships or projects related to machine learning or data analysis.