Principal Software Engineer - Machine Learning

Principal Software Engineer - Machine Learning

Location: Dallas, TX/ Atlanta, GA/ Plano, TX onsite day1 (Any of these three locations can be given)

This is a senior level role where this person is responsible for the development of high performance, distributed modeling tasks using Machine Learning and Data Science.

Responsibilities include:

• Programming Languages: SQL(MySQL/ PostgreSQL), Java, Scala, Python, No-Sql technologies (Cassandra/MongoDB, Redis)
• DevOps: Docker, Kubernetes, Jenkins, CI/CD, Git, Jira, Azure DevOps
• Data exploration, analysis, summarization, visualization using necessary tools like Tableau, excel, etc.
• Experience with tools like Snowflake, Talend, and Informatica for extracting data from various sources
• Expertise in Extract, Transform, Load (ETL) processes using tools like Apache NiFi, Talend, and Informatica
• Knowledge of building and managing data pipelines with tools like Apache Kafka, Apache Flume, and Apache Storm, Apache Flink, BI Analytics and Databricks
• Experience with REST services, MQ/Rabbit, Redis/Hazelcast
• Proficiency in Python, Java, or Scala
• Understanding of data warehousing concepts and platforms like Snowflake
• Knowledge of Telecom Domain

A Machine Learning (ML) Engineer plays a crucial role in designing, implementing, and maintaining machine learning models and systems. They bridge the gap between data science and software engineering, ensuring that ML models are scalable, efficient, and integrated into production environments.

Key roles and responsibilities include:

• Model Development and Training
• Algorithm Selection
• Feature Engineering
• Model Training
• Model Evaluation and Tuning
• Model Evaluation
• Hyperparameter Tuning
• Cross-Validation
• Model Deployment and Integration
• Model Deployment
• API Development
• Integration
• Monitoring and Maintenance
• Model Monitoring
• Model Maintenance
• Error Analysis
• Infrastructure and Tooling
• Infrastructure Management
• Automation
• Tooling
• Collaboration and Communication
• Cross-Functional Collaboration
• Documentation
• Stakeholder Communication

Programming Languages: Python, SQL, Java/Scala, shell-scripting

Cloud Technologies: Azure ML, Databricks, Snowflake and Palantir Foundry

DevOps: Docker, Azure Kubernetes Service (AKS), Jenkins, CI/CD, Git

ML Frameworks: Numpy, Pandas, Scikit-learn, OpenCV, TensorFlow, PyTorch, Hugging Face's Transformers, Spacy & NLTK

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.