Senior Machine Learning Engineer

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

***No Third Party Recruiters***

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