Machine Learning Engineer

Job Description

As a Machine Learning Engineer at MindPeers, you will help us build and deploy innovative models to help the system make better understanding for the next million Users Your solutions will help us stay ahead in the innovation curve and help us make mental health more accessible and trackable for our users Responsibilities Conceptualize, analyze, build, test, and deploy models to optimize the understanding of issues and track the improvement of the users. Contribute to product strategy and evolve MindPeers Underwriting into one of the most innovative underwriting algorithms in the industry Effectively communicate the result of experiments to leadership and the rest of the team. Mentor and grow other software engineers, data scientists, and ML engineers across teams Qualifications Educational background in Computer Science, Statistics, Mathematics, or a related quantitative field With 2 years of professional industry experience in Machine Learning Engineering Expertise in machine learning, deep learning, ethical data science, natural language processing, and statistical modeling Strong communication and collaboration skills Strong data visualization skills Excellent coding, documentation, version control, and testing skills in Python Proficiency in building unsupervised machine learning models Proficiency in ML/DNN in scikit, TensorFlow, PyTorch, or similar frameworks. Proficiency in numerical and scientific libraries like numPy, scikit, and Pandas Proficiency in working on Big Data systems. Experience working with Spark, Airflow, Snowflake, or similar technologies Proficiency in NoSQL/SQL. Deep understanding of database systems. Experience with text extraction and NLP.

More Info

Education