ML Engineer

Job Summary

We are seeking highly skilled ML Engineers for internship positions (4 openings) to join our team. The ideal candidates will have significant hands-on experience in machine learning, with a strong command of Python programming. This internship will provide the opportunity to work on impactful machine learning projects, contributing to the development, deployment, and optimization of ML models. The role is ideal for individuals looking to apply their expertise in real-world scenarios and collaborate with a team of professionals.

Responsibilities

• Design, develop, and implement machine learning models for various applications.
• Collaborate with data scientists and engineers to preprocess and analyze datasets.
• Optimize and tune ML algorithms for performance and scalability.
• Document processes, model parameters, and results for reproducibility and knowledge sharing.
• Stay updated with the latest advancements in machine learning and integrate them into projects.
• Assist in deploying models to production environments and monitor their performance.

Qualifications

• Minimum 5 years of hands-on experience in machine learning or related fields.
• Strong proficiency in Python programming.
• Solid understanding of machine learning algorithms and data structures.
• Experience with popular ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Ability to preprocess, clean, and manipulate large datasets.
• Excellent problem-solving and analytical skills.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

Preferred Skills

• Experience with cloud platforms (AWS, Azure, Google Cloud) for ML model deployment.
• Familiarity with MLOps tools and practices.
• Knowledge of deep learning architectures.
• Exposure to natural language processing (NLP) or computer vision projects.
• Strong written and verbal communication skills.

Experience

• Minimum 5 years of relevant experience in machine learning engineering, data science, or software development with a focus on ML.

Environment

• Internship position.
• Work location not specified (please inquire about remote or in-office arrangements).
• Collaborative, project-based work environment.
• Start date: Within 15 days of selection.
• Application deadline: June 15, 2025.