Lead Software Engineer - Machine Learning

AT&T-posted 4 months ago
$143,800 - $215,800/Yr
Full-time • Senior
Atlanta, GA
Telecommunications
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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. 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.

  • 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.
  • Bachelor's degree in Science/Engineering.
  • 8+ 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 preferred.
  • 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.
  • Medical/Dental/Vision coverage.
  • 401(k) plan.
  • Tuition reimbursement program.
  • Paid Time Off and Holidays (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 where available) and AT&T phone.
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