Role :Sr. AI ML Engineer /Data ScientistLocation : Bellevue ,Washington (Day 1 onsite)Job Description : We are searching for a strategic and inquisitive senior data scientist/senior AI-ML Engineer to develop and run with data-centered projects in telecom sector.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.
Required Skills : (+9 years )
- 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,
- 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.
- Compliance with prevailing ethical standards.
- Good to have experience in cloud environment (AWS, Azure )etc.
- Research and innovation.