AI Engineer

Wipro; Trenton (NJ); On-site; USD 60,000 - 135,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Paid time off

Job summary

Wipro in the United States, New Jersey, seeks a data scientist to lead data-driven projects in the telecom domain, from data collection to delivering actionable insights. The role requires hands-on ML work, model validation, and clear non-technical reporting for stakeholders.

The ideal candidate has 5–8 years in data science, strong Python and PySpark skills, and experience with ML libraries, NLP, and DL models. Competitive benefits and a path to impact business strategy are offered.

Qualifications

• Advanced degree in data science, statistics, computer science, or similar.
• Industry experience as data scientist and experience in ML, data visualizations, data mining, data understanding.
• Hands-on experience in PySpark, Python and ML libraries like numpy, pandas, scikit-learn.
• Knowledge of supervised and unsupervised ML algorithms like regression, SVM, decision trees, random forests, XGBoost.
• Strong foundation in statistics, hypothesis testing and exploratory data analysis (EDA).

Responsibilities

• Formulating, suggesting, and managing data-driven projects to advance telecom-domain business goals.
• Collating and cleaning data from multiple entities.
• Selecting and applying advanced statistical procedures for actionable insights.
• Cross-validating models to ensure generalizability.
• Producing non-technical reports detailing successes and limitations of each project.
• Suggesting how insights inform business strategy.
• Staying current on data science developments to keep outputs relevant.

Skills

PySpark

Python

Machine Learning

NLP

Deep Learning

Data Visualization

Statistical Analysis

Time-series

Model Validation

Education

Advanced degree in data science, statistics, computer science, or similar

Tools

Hive

OpenAI

TensorFlow

PyTorch

scikit-learn

Job description

Job Description

• 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.

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

Mandatory Skills: AI Cognitive

Experience: 5-8 Years

The expected compensation for this role ranges from $60,000 to $135,000 .

Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.

Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.

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