Senior Machine Learning Engineer — Dallas, TX

Senior Machine Learning Engineer, Predictive Modeling, Forecasting, Azure Databricks, Python – Hybrid/Dallas, TX

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Ready to shape the future of technology in Dallas? We’re searching for a Senior Machine Learning Engineer who doesn’t just follow trends; they set them. With your expertise in predictive modeling, forecasting, and large-scale data processing, you’ll architect and launch cutting-edge machine learning solutions on Azure Databricks, turning complex data into actionable insights. If you’ve spent 7+ years honing your skills, write production-grade Python code like a pro, and love seeing your models make a real-world impact, this is your moment to shine.

Why should you apply here?

• A trailblazing leader, this company redefines what it means to set the bar for excellence and innovation.

• Fueled by over 800 passionate professionals, this company pulses with the energy and agility of a mid-sized powerhouse.

• Here, you’ll help build from the ground up; your ideas shape the future!

• Imagine a fast-growing tech team that combines startup spirit with the rock-solid foundation of an industry leader.

• Every initiative beats with cutting-edge automation and bulletproof security at its core.

• Almost every project is a fresh opportunity, powered by the latest tools and resources to launch big ideas.

• IT champions open dialogue, seamless teamwork, and a culture where every voice is heard and everyone thrives.

• Your journey here is packed with chances to learn, grow, and rocket your career forward.

• Every contribution you make matters, and you’ll see your impact every day.

What will you be doing?

• Architect, build, and deploy end-to-end machine learning pipelines and predictive modeling solutions leveraging Azure Databricks (Delta Lake, MLflow, Spark ML).

• Develop advanced time-series forecasting algorithms and predictive models to solve complex business challenges and drive operational optimization.

• Write efficient, modular, and maintainable Python code for data ingestion, feature engineering, model training, and inference orchestration.

• Oversee model lifecycle management, including tracking, versioning, deployment, and performance monitoring using MLflow and CI/CD pipelines in a cloud environment.

• Partner closely with data engineers, product managers, and business stakeholders to translate complex requirements into scalable technical solutions.

• Establish and champion engineering standards, code reviews, and architectural patterns across the team.

What are the minimum qualifications?

• Bachelor’s or Master’s degree in Computer Science, Statistics, Applied Mathematics, Engineering, or a related technical field.

• Minimum of 7+ years of professional software engineering and machine learning development experience, with a proven track record of shipping production-grade models.

• Advanced, current proficiency in Python (Pandas, NumPy, Scikit-Learn, PyTorch / TensorFlow).

• Extensive hands-on production experience with Azure Databricks and Apache Spark.

• Deep expertise in building, tuning, and deploying predictive models and time-series forecasting solutions at scale.

• Solid understanding of cloud infrastructure (Azure) and MLOps frameworks (MLflow, Git, automated CI/CD pipelines).

• Deep expertise in designing end-to-end Lakehouse architectures (Bronze, Silver, Gold) using PySpark, Delta Lake, and Azure cloud services.

• Skilled in developing and maintaining dynamic ETL/ELT processes using cutting edge tools like Azure Data Factory and Databricks.

• Experience designing, building, and consuming RESTful APIs to connect pipeline outputs with external services and applications.

What will make your résumé stand out?

• Practical experience preparing data for LLM applications, RAG pipelines, vector search, or embeddings management.

• Master-level ability to craft complex SQL queries, analytical functions, and data transformations alongside clean, modular Python.

Location: Hybrid/Dallas, TX. Work onsite 2-3 days per week

Salary: $150k – $190k base plus Equity

Citizenship: U.S. Citizens or Permanent Residents

Employment Type: Permanent/Full-time