AI Engineer

Job Description KEY RESPONSIBILITIES · Formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests (telecom-domain). ● Collating and cleaning data from various entities ● Selecting and employing advanced statistical procedures to obtain actionable insights. ● Cross-validating models to ensure their generalizability. ● Producing and disseminating non-technical reports that detail the successes and limitations of each project. ● Suggesting ways in which insights obtained might be used to inform business strategies. ● Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant. Primary-Skill Set · Advanced degree in data science, statistics, computer science, or similar. ● Industry experience as data scientist and experience in machine learning, data visualizations, data mining, data understanding. ● Hands-on experience in PySpark, Python and machine learning libraries like numpy, pandas, sci-kit-learn, etc. ● Should have sound knowledge in both Supervised and Unsupervised Machine Learning Algorithms Like Linear Regression, Logistic Regression, K-Nearest Neighbor, Navie Bayes, Decision Tree, SVM, MLP, PCA, LDA, K-mean, Isolation Forest, DBSCAN, Ensemble Machine Learning Algorithm (Random Forest, Adaboost, Xg-Boost etc) ● Should have knowledge in Statistics, hypothesis testing, EDA, Feature Engineering etc ● Should have experience in Deep Learning Models, Generative Adversarial Network (GAN), Reinforcement Learning Models (SARSA, Q-Learning), LSTM, BI-LSTM, BERT, GPT-3, GPT-4, Transformers ● Experience in Natural Language Processing, NER Models, have knowledge in OpenAI , Image Processing ● Knowledge in Time-series Forecasting , Predictive Methodologies ● Proficiency in Python, PySpark, Hive datasets ● In-depth understanding of SQL, NoSQL. ● Competent in machine learning principles and techniques. ● Demonstrable history of devising and overseeing data-centered projects. ● Knowledge in Clean Code and code-optimization