Sr Associate Software Engineering

Job Description:

JOB Responsibilities:

• Develop and implement machine learning models and algorithms for [use cases, e.g., Anomaly Detections systems, natural language processing and Statistics with Algorithms solutions using Datamining, Classification, Regression, and clustering algorithms.
• Collaborate with cross-functional teams (data scientists, software engineers, product managers) to integrate ML solutions into production systems.
• Optimize and fine-tune models for performance, scalability, and efficiency.
• Conduct exploratory data analysis (EDA) and feature engineering.
• Stay up to date with the latest advancements in ML and AI.

JOB Requirements:

• Bachelor’s or master’s degree in computer science, Data Science, or related field.
• Must have Strong programming skills in Python and experience with libraries such as TensorFlow, PyTorch, Spark, Pyspark, or scikit-learn, matplotlib.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Solid understanding of machine learning concepts (supervised, unsupervised, deep learning and Natural Language Processing).
• Experience with cloud platforms (Azure, AWS) and distributed computing.
• Excellent problem-solving skills and ability to work independently.

Weekly Hours:

Time Type:

Location:

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities.