Machine Learning Engineer

Job Description

Qualifications: BTech/BE in computer science, electrical, electronics or related fields 3+ years of development experience in building custom data models for AI and ML based products in a tech startup environment High emotional intelligence, empathy and collaborative approach. Expertise in Python, NumPy, Pandas, Node and using them to build custom models using LLM models like openAI Expertise in working with deep learning frameworks such as Keras and Tensorflow Expertise with big data programming practices Good knowledge of Basic Statistics (Hypothesis testing, probability, distributions, etc.) Exposure towards multivariate statistical Analysis (such as PCA, PLS, etc.). Strong in Machine learning and supervised learning techniques such as ANN, Decision Trees, SVM, Na ve Bayes, etc. Knowledge of Unsupervised learning techniques such as k-means, hierarchical clustering, etc. Should be a quick learner to keep up with the pace of the ever changing world of technology as the candidate will get excellent exposure to the latest and trending Cloud based Saas technologies and best practices while working with varied customers based across the globe. Responsibilities: Responsible for using open source Machine Learning and AI libraries, OpenAI, DeepMind LLama etc Accountable for the development of custom AI models Manage data analytics and machine learning for monitoring, diagnosis, and predictive maintenance in the edtech industry. Designing, developing, and researching Machine Learning systems & models Searching and selecting appropriate data sets Performing statistical analysis and using results to improve models Identifying patterns in data distribution that could affect model performance in real-world situations Verifying data quality and/or ensuring it via data cleaning Data Visualization and insight gleaning Enriching existing ML frameworks and libraries

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