Senior Machine Learning Engineer

Job Description:

Join AT&T and reimagine the communications and technologies that connect the world. Our Consumer Technology experience team is delivering innovative and reliable technology solutions to power differentiated, simplified customer experiences. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter. When you step into a career with AT&T, you won’t just imagine the future-you’ll create it.
 

Senior Machine Learning Engineer
 

Key Qualifications, Skills, and Responsibilities

This is a senior-level role requiring technical depth across programming, cloud, big data, machine learning, and distributed systems. Responsibilities include end-to-end ML model lifecycle (development, evaluation, deployment, monitoring), infrastructure management, and collaboration with cross-functional teams, all in the context of telecom and large-scale data solutions.
 

Key Responsibilities

• Model Development & Training: Selecting algorithms, feature engineering, training, and optimizing models using historical data.
• Model Evaluation & Tuning: Assessing model performance, hyperparameter tuning, and cross-validation for robustness.
• Deployment & Integration: Deploying ML models in production, developing APIs, and integrating with existing systems.
• Monitoring & Maintenance: Continuous monitoring, retraining, addressing model/data drift, error analysis, and improvement.
• Infrastructure & Automation: Setting up cloud/distributed infrastructure, automating processes with scripting and orchestration tools (e.g., Airflow).
• Collaboration & Communication: Working cross-functionally with stakeholders, maintaining documentation, and providing regular updates.
• Agile Environment: Operates within highly agile and collaborative teams.
   

Required Skills & Qualifications

• Education & Experience: Bachelor’s degree in Science/Engineering;
• 5+ years in software development - SDLC expertise, big data, and SQL.
• Programming Languages: Python, Scala, Java, SQL (MySQL/PostgreSQL), shell-scripting; NoSQL (Cassandra, MongoDB, Redis).
• Data Tools & Technologies: Data warehouse (Snowflake, Databricks), ETL tools (Talend, Informatica, Apache NiFi), BI and analytics (Tableau, Excel), Data exploration, summarization, and visualization.
• Big Data & Streaming: Spark, Kafka, Flume, Storm, Flink, Hadoop query languages (Pig, Hive, Scalding, Cascalog, PyCascading), IBM InfoSphere Streams.
• DevOps & Cloud: Docker, Kubernetes (AKS), Jenkins, CI/CD pipelines, Git, Jira, Azure DevOps, Azure ML, Palantir Foundry, distributed cloud environments.
• Machine Learning & Data Science: Model development, feature engineering, training, evaluation (accuracy, precision, recall, F1, AUC-ROC), tuning, deployment, and integration.
• Frameworks & Libraries: scikit-learn, TensorFlow, PyTorch, Numpy, Pandas, OpenCV, Hugging Face Transformers, Spacy, NLTK.
• APIs & Integration: REST services, MQ/Rabbit, Redis, Hazelcast.
• Domain Knowledge: Telecom sector expertise is required.
   

Summary of skills required: Python, Scala, Java, Telecom domain knowledge, Data-Warehouse/ DataBricks knowledge, NoSQL-JSON-Document store (e.g. MongoDB), Data-Mapper (e.g. Nifi), Data Analytics, Spark, Kafka and Azure technology, Machine Learning and Modelling.

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.

Our Senior Software Engineering, earns between $130,700-$196,100 USD Annual not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Joining our team comes with amazing perks and benefits:  

• Medical/Dental/Vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
• Paid Parental Leave
• Paid Caregiver Leave
• Additional sick leave beyond what state and local law require may be available but is unprotected.
• Adoption Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
• Employee Assistance Programs (EAP)
• Extensive employee wellness programs
• Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber whe