Military Spouse Connection Jobs

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:

40

Time Type:

Regular

Location:

Bangalore, Karnataka, India

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.

AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws

We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status