Associate Software Engineer- ML

You will be a Machine Learning Engineer responsible for assisting in the development and deployment of machine learning models and data systems. This entry-level position offers an opportunity to apply your technical skills to real-world challenges and collaborate within a team environment. Your responsibilities will include: - Assisting in the design, training, and optimization of machine learning models. - Supporting the development of scalable data pipelines for machine learning workflows. - Conducting exploratory data analysis and data preprocessing tasks. - Collaborating with senior engineers and data scientists to implement solutions. - Testing and validating machine learning models for accuracy and efficiency. - Documenting workflows, processes, and key learnings. You should possess: - A Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. - Basic proficiency in Python and familiarity with libraries such as NumPy, Pandas, Scikit-learn, and Tensorflow. - Knowledge of SQL and fundamental machine learning concepts and algorithms. - Exposure to cloud platforms like AWS, GCP, or Azure would be advantageous. Additionally, you should have: - 0-1 years of experience in data engineering or related fields. - Strong analytical skills and the ability to troubleshoot complex issues. - Leadership skills to guide junior team members and contribute to team success. Preferred qualifications include: - A Bachelor's degree in Computer Science, Information Technology, or a related field. - Proficiency in Scikit-learn, Pytorch, and Tensorflow. - Basic understanding of containerization tools like Docker. - Exposure to data visualization tools or frameworks. Your key performance indicators will involve demonstrating progress in applying machine learning concepts and successfully completing tasks within specified timelines.,